Unmasking the RPA myths: A sneak peek into the truth about RPA

Robotic Process Automation (RPA) has emerged as a transformative technology, revolutionizing, and reshaping the operational landscape of businesses across various industries. It has become a key driver of innovation and efficiency in today’s rapidly evolving business environment. In fact, according to the latest findings in a comprehensive report conducted by Grand View Research, the global market size for RPA was estimated to be a staggering $2.3 billion in 2022, demonstrating its significant market presence and immense potential for growth.

The future of robotics process automation services appears exceptionally promising, as it is projected to expand at an impressive compound annual growth rate (CAGR) of 39.9% from 2023 to 2030, according to the same report. While it is true that large enterprises dominated the RPA market share in 2022, accounting for a substantial 66.0%, the adoption and integration of RPA technologies are not limited solely to these industry giants.

On the contrary, small and medium-sized enterprises (SMEs) are anticipated to experience the highest compound annual growth rate during the forecast period.  This is primarily due to the increasing awareness and recognition of the immense benefits and transformative power that RPA can offer within this segment.

The remarkable growth and vast potential of RPA solutions emphasize the importance for business and technology leaders to take proactive measures in future-proofing their RPA initiatives. However, it is equally crucial to address the challenges that arise during the implementation of this transformative technology.

Many stakeholders demand clear and direct benefits before approving technology investments, which can pose a significant hurdle for organizations. To unlock the full potential of RPA, it is crucial to understand that it is not a one-and-done solution. Rather, it requires a comprehensive approach involving planning, strategizing, and cultivating the right mindset to derive the maximum value.

In this context, Forrester has highlighted several critical steps, among which I firmly believe that the below three possess the potential to generate significant value and effectively futureproof RPA initiatives.

Integrate RPA seamlessly into your organization’s automation fabric

To effectively integrate RPA solutions into your company’s automation ecosystem, it is crucial to view RPA as an integral part of your overall automation strategy. RPA should no longer be seen as an isolated entity but rather as a steppingstone towards creating a comprehensive automation fabric. In fact, it should be considered a constituent of the broader automation roadmap.

In order to effectively align RPA solutions within your organizational structure, establish a dedicated automation organizational framework that focuses on transformation. This structure should have clear leadership and a well-defined charter that emphasizes the strategic objectives, operational goals, and governance of RPA solutions within the broader context of automation. While RPA is well-suited for automating repetitive manual tasks, its potential extends beyond mere cost avoidance. Explore transformation-centric use cases where RPA can act as a vital link in enabling digital business initiatives. By leveraging RPA as an enabler of digital transformation, you can unlock new avenues for innovation and drive business growth.

To ensure the success of your RPA program, it is essential to secure sponsorship from the C-suite. An executive sponsor plays a pivotal role in providing strategic direction, securing funding, aligning stakeholders, championing the program, and overcoming any obstacles that may hinder its progress.

Establish a robust business value model for RPA solutions

Calculating the return on investment (ROI) for complex processes becomes increasingly challenging due to various factors and dependencies. To ensure a realistic and comprehensive business case, it is essential to neither overstate the potential value nor underestimate the costs involved.

While the price of RPA licenses can vary significantly, the success or failure of achieving sustained ROI is independent of the license cost. To demonstrate the financial viability of implemented RPA solutions, take a balanced scorecard approach to assess the value generated by large-scale RPA programs that includes operational efficiency, business performance, revenue, profitability, customer experience and risk.

Understand the different cost structures involved, including infrastructure setup, licenses, automation development and testing, long-term running costs and the cost of change. Report automation value in ways that resonate with business leadership, focusing on functional, economic, experiential, and symbolic dimensions rather than solely tactical or productivity-focused metrics. Additionally, recognize the strategic and human impact of RPA within a broader automation initiative, acknowledging its ability to free up human labor for more innovative, consumer-centric, or socially impactful endeavors.

Approach RPA like an enterprise platform

When implementing RPA, it is crucial to treat it as an enterprise platform and adhere to the same standards and guidelines as other technologies. To ensure good automation governance, prioritize user experience, and involve business stakeholders and process experts in the design process.

Design the automation process responsibly by considering how they interact and impact actual users within the workflow. Apply user-centered design principles and involve experts to achieve user goals effectively. Formalize approaches to data privacy and resilience, as RPA bots handle sensitive customer and personal data. Also, be aware of vulnerabilities that may affect data provisions, such as compliance with regulations like GDPR.

To establish an effective automation architecture, focus on building platforms and supporting reusability. Develop a library of reusable components, business objects, or code that can be easily composed into various workflows, avoiding the need to rebuild from scratch. Maintain software development and testing best practices to ensure reliable and robust RPA solutions. While RPA simplifies automation creation for business users, it still relies on scripting across different workflows and applications. Complex tasks with extensive scripting can lead to bot failures due to infrastructure issues, software reliability and changes in application UI and data.

By embracing RPA as a vital component of your automation strategy, establishing a robust business value model and approaching it with the mindset of an enterprise platform, you can unlock the full potential of RPA and drive transformational outcomes for your organization.

RPA: myths vs reality

As the demand for RPA continues to grow and organizations recognize its potential, it becomes very crucial to address the concerns and misconceptions that have hindered its widespread adoption.

Despite the evident success stories and statistical evidence supporting the value of RPA solutions, it has faced resistance from some industries when it comes to its adoption. Concerns have been raised regarding potential issues like overreliance on automated bots, susceptibility to cyber-attacks and the critical aspect of data security. These concerns have contributed to the creation of several misconceptions and myths surrounding RPA solutions.

Unfortunately, these misconceptions and myths act as barriers that hinder the widespread adoption and prevent businesses from fully harnessing the true potential of RPA solutions. Deloitte’s global robotics process automation survey report revealed a relatively small increase in organizations investigating or implementing RPA solutions and only 3% of leaders scaled their RPA capabilities to more than 50 robots.

In the below infographic, we debunk some of the most common myths associated with RPA.

Conclusion:

Robotic process automation is a powerful technology that can drive business transformation by automating repetitive tasks, improving efficiency, reducing costs, and enhancing the overall customer experience. By dispelling common myths surrounding RPA, organizations can gain a better understanding of its capabilities and make informed decisions about its implementation. Embracing RPA and leveraging its potential can accelerate digital transformation and help businesses stay competitive in the ever-evolving landscape of automation. RPA is not a one-size-fits-all solution and organizations must carefully assess their processes and objectives to determine how RPA can best be utilized to drive value and achieve their strategic goals.

We understand that RPA solution implementation is a specialized expertise and if not done accurately, it can cost a lot to any business. You may keep adding bots to your processes but not get desired results if you don’t know what to automate and how to improve existing processes while automating them. To help you navigate the intricacies of RPA implementation and maximize its potential, we have prepared a comprehensive whitepaper.

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Our whitepaper offers a comprehensive perspective that highlights the lesser-known aspects of this technology. It also provides in-depth insights, practical tips and real-world examples to equip business and technology leaders with the knowledge needed to make informed decisions and execute successful RPA initiatives. Click here to access our whitepaper.

6 key benefits of cloud computing in retail

In today’s rapidly evolving retail landscape, embracing cloud retail solutions has become imperative. The surge in online retail and intensifying competition necessitates that retail businesses leverage cutting-edge technologies to stay ahead in the game. Among these technologies, cloud computing stands out as a game-changer – streamlining workflows, curbing IT expenses and enhancing the overall customer experience. By embracing cloud computing in retail, businesses can unlock a myriad of benefits that contribute to their success in the digital era.

Redefining retail operation with cloud computing

Cloud computing in retail refers to the use of cloud-based services and cutting-edge technologies to manage and securely store data, applications and infrastructure vital to retail operations. This transformative approach empowers retailers with the freedom to access their critical data and applications from any location, at any time, enabling them to streamline operations, boost efficiency and effectively curtail costs. Impressive statistics from a report by Globe News Wire reveal that the retail cloud market is expected to grow to $58.67 billion in 2027 at a CAGR of 16.7%. As the numbers ascend, it becomes evident that cloud computing in retail is set to redefine the landscape, revolutionizing how businesses operate and serve their customers.

Download the whitepaper: Red Teaming for Cybersecurity – Retail Industry Applications.

Gaining an edge with cloud computing in retail

Cloud computing empowers retailers with a competitive advantage over their e-commerce competitors by offering enhanced flexibility. In traditional systems used by offline retailers, they struggle to integrate with modern technologies and can be expensive to maintain. Cloud computing in retail, on the other hand, offers a streamlined and cost-effective alternative. By adopting cloud solutions, retailers can bid farewell to their legacy systems, freeing up resources to focus on growth and innovation. This newfound agility enables them to thrive in the digital market, gaining a distinct edge over their rivals.

The retail landscape is expanding far beyond the realms of traditional ERP, CRM and supply chain management (SCM). In the cut-throat competition of today, the importance of managed IT infrastructure has never been more acutely felt. It stands as the driving force capable of reshaping the age-old retail industry and helping them adapt to an ever-changing market. Even brick-and-mortar retailers can leverage a plethora of tools available to enhance communication among employees across various departments and locations. This effective collaboration paves the way for streamlined business management, reducing the chances of miscommunication and ensuring a brighter future for the retail sector.

Where does cloud computing in retail fit?

Retail is one of the top industry sectors with the highest cloud use, at 96.9%, with only 3.1% of retail businesses saying cloud technologies are not applicable to their business. And the reason for such high cloud adoption among retail is apparent – the e-commerce sites see high traffic during sales and the holiday season.

By leveraging cloud computing in retail analytics and social media, retailers can gain valuable insights into customer preferences and behaviors, enabling them to deliver personalized shopping experiences. The power of big data lies in its ability to process vast amounts of structured and unstructured data, which demands substantial computing power and storage. Cloud-based solutions step in to meet these requirements by offering on-demand storage and robust computational and analytical capabilities. This allows retailers to efficiently manage and harness the potential of big data, propelling them toward success in the dynamic retail landscape.

In this blog, we further delve into the 6 key advantages of cloud computing in retail to unlock a world of possibilities for your business.

Advantages of cloud computing in retail

Streamlined operations

Many traditional offline retailers find themselves operating in a disjointed manner, constrained by outdated legacy systems. This hinders their ability to efficiently integrate various business operations, from inventory management to shipping, development and point of sale (POS) activities. However, by embracing cloud computing, retailers can unlock the power to deliver seamless customer experiences tailored to consumer demands.

The impact of cloud computing on retail business means all departments and locations have real-time updates on the inventory, shipment and other aspects of the business at their disposal. Since POS systems are moving from cash and cards to smartphones and tablets, retailers can implement cloud technology for a smooth transaction process and better customer experience.

Customized shopping experience

Customers today have more options within their reach, and switching has never been easier. As little as two unsatisfactory experiences could prompt 86% of consumers to abandon a particular brand. However, utilizing cloud computing presents a remarkable opportunity to enhance customer loyalty like never seen before.

A pivotal question arises in the minds of retailers: can cloud computing effectively handle inventory and shipping? The answer is a resounding yes! Cloud computing brings a host of benefits, enabling stores to instantly access a customer’s buying history and effortlessly track order statuses, regardless of when or where the purchase was made. This real-time access to comprehensive customer and order data empowers retailers to offer personalized recommendations, exclusive membership offers, coupon codes and other enticing promotions that foster customer loyalty. With cloud technology in place, retailers can even welcome customers with personalized messages or share enticing deals of the day as soon as they step into the store.

Cost-effective existence

The retail industry is one of the most rapidly evolving sectors. To cater to the fast-changing business demands, retailers need technology that must eliminate time spent on planning, procurement, budget approval for capital expenditure, development and other operational aspects.  This is where cloud computing in retail comes in with a massive advantage over on-premises computing. A blog post from Google Cloud describes how Macy’s, an American retailer, leveraged cloud databases to enhance the customer experience and optimize the pricing services. By adopting cloud services, Macy’s successfully streamlined its infrastructure, reducing complexity and maintenance and ultimately leading to significant cost savings. Walmart too used a multi-cloud strategy to optimize workload placement and was able to save millions in IT costs.

With cloud technology, retailers only pay for the resources they actually use. This brings considerable savings to their operational expenditure budget as they no longer need to worry about investing in hardware, software and connectivity. Additionally, the burden of system updates is shifted to the managed cloud services provider, relieving retailers of such responsibilities. This streamlined approach also reduces the need to hire dedicated IT personnel, further adding to the cost savings offered by cloud computing in the retail sector.

Scalability advantage

All retailers experience peaks and troughs in business. Most often, businesses depend on promotions, the time of the year, and even the weather. Hence, IT systems must be equipped to handle these ever-changing scenarios seamlessly. This is where the scalability advantage of cloud computing in retail becomes a game-changer. Target, an American retail corporation, uses cloud computing to power its website and mobile app, ensuring that it can handle high traffic volumes during peak shopping seasons.

With a cloud-based model, retailers can easily adjust the level of resources to match their actual usage, swiftly scaling up or down as needed, all in a cost-effective manner. Cloud computing in retail empowers businesses to seamlessly handle peak demand periods, ensuring that they can meet customer expectations without any hiccups. The cost flexibility of cloud solutions is bolstered by varied pricing options that depend on the increase or decrease of computing usage as per specific requirements. The scalability aspect of cloud computing opens up new avenues for retailers to grow and thrive in the dynamic marketplace.

Better supply chain visibility

SCM is one of the most critical business processes in the retail industry. A slip in any one of the processes can lead to irreparable damage. To fortify their SCM capabilities, retailers can turn to cloud-based models that offer seamless integration across every aspect of their business, providing enhanced supply chain visibility and robust enterprise application support. According to an Accenture study, executives on average attributed their cloud use to a 16% reduction in supply chain operating costs. 41% of all executives also said the desire to increase supply chain efficiency was a top-three reason for migrating their supply chains to the cloud.

Cloud computing retail can result in fewer stock-outs and optimized inventory levels and can also enable retailers to capture real-time location data on inventory and compare their stock with that of other locations. Using cloud computing, retailers can assess each individual element of the supply chain, from order status to product marketing. Cloud technology can automatically record relevant data that retailers can then use to make changes to their business processes.

Catalyst to create new products

Data analytics capabilities delivered by cloud computing in retail serve as a powerful tool for retailers to create innovative new products driven by customer feedback. Leveraging this technology, retailers can compile valuable information from various online sources, including competitor retailers and social media platforms, to gain insights into customer preferences and desires.

With all the relevant inputs, retailers get better equipped to judge what the current fashion trends are and which ones are set to become popular. By analyzing this information, retailers can make informed decisions about introducing new products in the market.

Read success story: Leading a Retail Major Through a Successful Quality Engineering Transformation

Conclusion

Cloud computing in retail has emerged as a game-changing technology in the industry, revolutionizing the way businesses operate and interact with customers. The six key advantages we explored collectively unlock a world of possibilities for retailers.

As the retail industry constantly evolves, predicting its exact trajectory in the coming years remains a challenge due to the ever-changing landscape of customer buying habits. However, amidst this uncertainty, one thing remains clear: cloud migration presents a robust solution that enables retailers to adapt swiftly to changing trends and consumer behavior. It empowers retailers to stay nimble and responsive, ensuring they can quickly align with emerging market demands. By harnessing the transformative power of cloud computing, retailers can confidently navigate the dynamic retail landscape and remain at the forefront of the industry, even with the risk of unpredictable changes.

Ready to unlock the full potential of cloud computing for your retail business? Contact us at digital@infovision.com today and let’s take your operations to the next level!

Choosing the right MDR partner: key questions to ask

In today’s interconnected world, the importance of cybersecurity cannot be overstated. Cybercriminals are constantly evolving their attack techniques, posing significant risks to governments, businesses and individuals alike. Cybercrime is estimated to become an $8 trillion ‘industry’ in 2023, going up to $10.5 trillion by 2025. To effectively mitigate these rising risks, it is important to enhance your security strategy and proactively prepare for the ever-changing landscape of cyber threats.

One powerful solution that organizations can rely on is managed detection and response (MDR). This approach offers a comprehensive suite of proactive threat hunting, detection and response capabilities, providing a robust defense against emerging cyber threats. Managed detection and response services go beyond traditional security measures by leveraging advanced tools, technologies and expert analysis to detect and mitigate threats in real-time.

However, not all managed detection and response service providers are created equal as there’s a huge disparity in the MDR offerings. While some MDR services stop at reactively investigating automated alerts, others provide a full range of AI-based predictive tools. Some MDR services only alert their customers to detected threats while others respond to them without the need for customer intervention.

Given the disparity in the offerings, choosing the right MDR solution provide is of utmost importance. Decision-makers must embark on thorough research to find managed detection and response services that precisely align with their unique needs and delivers end-to-end protection.

This blog post will delve into the essential aspects every organization should ask before hiring an MDR partner. By asking these questions and carefully evaluating the responses, businesses can ensure they make an informed decision and forge a partnership that effectively safeguards their profitability, assets and reputation in the face of ever-evolving cyber threats.

In the following sections, we will present a series of crucial questions that organizations should consider when selecting an MDR solution provider. These questions will help you assess the capabilities, expertise and suitability of potential partners, ensuring that you make an informed decision in protecting your business from cyber threats.

So, here’s how to crack the MDR code!

How well does it understand your needs?

To begin with, it is important to first understand that a template-based solution isn’t always the best and not one size fits all. A template can be a good framework, to begin with, but not necessarily the appropriate solution for every problem. A crucial benchmark for a managed detection and response services partner is their ability to comprehend your organization’s unique requirements. Look for a vendor that can offer a customized approach. Additionally, ensure they have a deep understanding of your industry and offer enhancements and modules that cater to your specific needs. This is a huge issue since many MDR services do not understand that small and medium business require a tailored solution as much as an industry behemoth.

What tools does it employ?

Evaluate the tools employed by the managed detection and response services. A capable provider should go beyond endpoint security and possess a set of best practices that extend to threat hunting and detection. Look for the presence of tools that it can mix and match to make it a perfect fit for customers’ needs. The tools may include extended detection and response (XDR), security information and event management (SIEM) and security orchestration, automation and response (SOAR). The quality and number of OEM partners of the MDR service collaborate with and its partnership ecosystem can indicate their ability to respond effectively to emerging threats.

How much does it research?

Managed detection and response is an ever-evolving ecosystem that requires continuous research and staying abreast of the latest developments. A reliable MDR service should have a strong research team with access to global cyber threat intelligence networks. Their commitment to assessing adversaries’ techniques, conducting breach investigations and understanding malware functionalities will keep both the service provider and their clients one step ahead of potential threats.

How proactive are its detection capabilities?

Threat hunting is the aspect of MDR services and the approaches taken by service providers can be significantly different from one another. While automated processes are common, true threat detection requires human intervention and a hypothesis-based approach. An effective MDR solution provider should combine artificial intelligence (AI) and machine learning (ML) tools with round-the-clock monitoring, analysis and investigations to ensure comprehensive security for your organization’s assets.

Is it a turnkey service?

The scope of managed detection and response services deliverables differs widely. While some services limit themselves to alerting customers and recommending actions, a true MDR solution provider goes beyond that. Look for a service that assumes the entire burden of your cybersecurity needs, managing detection, response and analysis remotely without requiring constant authorization. They should have the capability to access your technology ecosystem, isolate threatened systems and prevent the spread of attacks in real-time, all without significant capital investment from your end.

Does it field-test its incident responses?

An impulsive response to cyber threats can lead organizations to shut down business processes, which will cost them hours of downtime and also cut into the company’s profits. The experience of an MDR service plays a critical role in its ability to respond effectively to threats. The MDR service provider should have a set of incident responses ready that have been previously tested in real-life situations. This type of testing guarantees the appropriate deployment of responses and is required especially in cloud-based ecosystems, where false positives are common. The incident responses can therefore help conserve valuable resources as well.

How easy is it to work with?

The compatibility between your organization and the managed detection and response services is vital for a successful partnership. A cultural fit is essential since the service will be a virtual adjunct to your business. Look for an MDR partner that dedicates adequate human resources to your organization. This is particularly necessary as it is an important consideration, given that trained security specialists are scarce and high in demand. The partner should offer easy collaboration, proactive support and a simple escalation mechanism. Additionally, long-term stability is crucial to ensure continuity in the partnership.

Traversing through the cybersecurity journey with MDR

As the threat landscape continues to evolve and cyber crimes become increasingly sophisticated, organizations must prioritize their cybersecurity strategies. MDR offers a powerful solution that goes beyond traditional security measures by providing proactive threat-hunting, detection and response capabilities. However, not all MDR solution providers will be suitable for you and before choosing an MDR partner, it should be recognized that MDR is often used as a catch phrase. Organizations should conduct thorough research and ask essential questions to assess the capabilities, expertise and compatibility of potential MDR solution providers.

Organizations can then make an informed decision and forge a partnership that effectively safeguards their company data, assets and reputation. Also important to remember is that cybersecurity is not a one-size-fits-all approach and finding an MDR partner that aligns with your organization’s unique needs is crucial. So, crack the MDR code by asking the right questions and selecting a partner who will guide you through the cybersecurity journey.

With the wide range of managed detection and response offerings available, selecting the right partner becomes of utmost importance. Decision-makers must do due diligence and undertake research to identify an MDR service that precisely caters to their unique requirements. For a more comprehensive understanding and in-depth coverage of MDR, we invite decision-makers to explore our white paper. Our white paper goes beyond the surface and offers a bank of knowledge on MDR, expert analysis and actionable recommendations. You can also contact our security expert, Sai Surapaneni, to get answers to your questions on strengthening your cybersecurity measures and gain valuable insights.

Download our whitepaper to unlock the necessary knowledge to make informed decisions and navigate the MDR landscape.

5G- Enabling the New Era of Digital Payments and Banking

The banking industry is on the cusp of digitalized revolution spearheaded by 5G technology,  the fifth generation of mobile communication. As per Grand View Research, the global digital payment market size was valued at $81.03 billion in 2022 and is expected to expand at a compound annual growth rate (CAGR) of 20.8% from 2023 to 2030. This surge in growth can be largely attributed to the widespread adoption of the 5G network across the globe, which is predicted to encompass approximately one-third of the global population by 2025.

As the 5G technology promises much faster internet speeds, lower latency, greater bandwidth, and the capacity to connect billions of devices, a world of possibilities for the financial sector is yet to be unveiled. From ATMs to online and mobile banking, the financial services industry has been an early adopter of digital technology.

With the integration of 5G in banking, an unparalleled customer experience awaits, particularly in the realms of digital banking and payments. This transformative technology has the potential to enhance fraud prevention measures, thus making transactions more secure and reliable.

5G in banking industry

5G in banking holds the potential not only to revolutionize the digital payment sector but also to enhance the overall banking experience for customers. By leveraging high-speed connectivity, 5G in financial services can streamline digital communications and payments, leading to improved quality in digital banking services. Here are a few ways in which 5G technology is set to transform digital banking:

Transforming payment sector

The financial sector can leverage 5G technology’s high-speed connectivity to perform more complex processes quickly, significantly reducing the waiting period for things such as ID verification for new customer onboarding and loan tracking. The quality of contactless payment services can be improved, with the potential for expansion into more sophisticated channels, including wearable devices, IoT devices, and even virtual reality (VR) and augmented reality (AR) technologies.

Improve service offerings

The 5G in banking will allow the processing of more complex transactions, such as auto loans and mortgages, with reduced costs. The enhanced connectivity provided by 5G will result in improved performance of existing banking applications and websites, offering customers a seamless and efficient digital banking experience. Furthermore, upgrading ATMs and kiosks to 5G technology will enable faster service by giving customers quick access to their money.

Improving Customer Experience

The adoption of 5G in banking will significantly improve customer experiences, as it provides access to a wide range of personalized services. 5G technology combined with edge computing will reduce network latency, therefore delivering better services for banking customers.

Fraud prevention

5G technology can help prevent fraud in the BFSI sector by facilitating faster data sharing and simplifying mobile and digital payment solutions. 5G in digital payments will eliminate any related performance issues related to wearables and IoT-connected devices. Furthermore, 5G technology enhances the security of online payments by facilitating the real-time transmission of a larger volume of data across networks.

Banking for everyone

The robust connectivity provided by 5G in banking allows customers to easily access their bank accounts and utilize a wide range of banking services. However, despite the significant benefits, the BFSI sector faces several challenges during the implementation of digital transformation. These challenges include:

  • Evolving away from legacy applications:The existence of certain legacy systems within the banking sector isn’t conducive to the digitalization of banking services. Many major banking systems, for example, are built using the COBOL programming language, which has been around for over 60 years.
  • Solving security issues at scale:In addition to ensuring the protection of social communication channels, banks currently encounter a significant challenge in safeguarding their IT infrastructure and all other associated data.
  • Securing social media communications:Social media is expected to be one of the primary sources of communication for customers. Accelerating client communications on social media presents an array of digital banking challenges, including security and compliance.
  • Breaking down silos and mitigating risks:The siloed nature of banks has resulted in stunted growth, limited scalability and has also reduced the level of customer satisfaction.
  • Choosing between bricks-and-mortar and digital:Banking service providers must realize that customers’ persistent need to visit physical branches is one of the challenges in implementing digital banking.

To enable digital transformation in banking, the industry needs to embrace mobility, stay up to date with digital innovations, enable automation, implement smart digital solutions and allow multichannel services and human interactions.

5G in digital payments

According to projections, the global revenue from digital payments is expected to reach $14.79 trillion by 2027. This significant growth can be attributed to several factors, including the widespread adoption of smartphones, the increase in e-commerce sales, and the surge in internet activities worldwide. Looking ahead, the landscape of digital payments is poised for continued expansion, fundamentally transforming the way individuals and businesses conduct financial transactions on a global scale.

With the advent of 5G technology, digital payments are poised to become increasingly appealing to both consumers and merchants. The faster and more seamless payment options offered by 5G technology will contribute to the greater adoption of digital payment methods. As 5G technology becomes more prevalent, it has become crucial to transition towards digital payments due to the numerous advantages they offer.

Advantages of digital payments

  • Convenience:One of the most significant advantages of digital payment is the seamless experience they provide to customers. With reduced dependency on cash, quicker transfer, and effortless transactions, digital payments have become the preferred choice.
  • Security:The process of handling and managing cash payments can be burdensome and tiresome. Most digital payment platforms offer customers regular updates, notifications, and statements to easily track their funds.
  • Faster Transactions:Digital payments enable you to expedite the checkout process and receive payment almost instantly. Whether in-store or online, digital payment methods only involve a simple tap or swipe, which simplifies the transaction.
  • Less manual work:Digital payments technology reduces manual work by unifying the entire process into a single automated workflow.

Conclusion

As financial institutions increasingly collaborate with fintech companies to offer customers seamless and interconnected banking experiences, the advent of 5G technology is expected to create a favorable environment for such advancements. With the integration of 5G technology into digital payment applications, the future of banking is just starting to take shape.

In today’s uncertain landscape, banking and financial services organizations need a strategic approach that prioritizes customer experience, operational excellence, and unique competitive advantages driven by digital solutions. InfoVision offers a comprehensive range of emerging technologies, cloud expertise and an innovation ecosystem to assist these organizations in transforming their operations.

We engage in extensive partnerships to implement, secure and scale continuous KYC and risk segmentation practices, which contribute to a comprehensive analysis of customer behavior. Our customers have successfully utilized these approaches and our capabilities to execute them, resulting in enhanced security and improved customer satisfaction simultaneously.

By exploring InfoVision’s wide array of offerings, one can harness the disruptive opportunities presented by the digital economy, which include:

  • Faster cross-border payments
  • Open banking
  • Digitalized payments
  • Mobile banking platform
  • Digital wallet
  • Shared loyalty reward program
  • Commercial banking
  • Core banking upgrades
  • Intelligent operations
  • AI-driven fraud analytics
  • Cloud readiness

Together, let’s tap into the potential of digital transformations and maximize our success in the ever-evolving digital landscape.

Red teaming: The future of cybersecurity preparedness

With the global cost of a data breach skyrocketing to an average of US$4.35 million in 2022, businesses are turning to technology advancements to safeguard their information and unlock new commercial opportunities. And, as companies ramp up their security efforts, a myriad of cutting-edge services and standards are emerging to help them stay ahead of the curve. Insurers are taking notice – and so should businesses!

To proactively tackle security threats, businesses often conduct vulnerability analysis of their internal networks or perform penetration tests on live websites, which can uncover security flaws with ease. But these measures alone are not enough.  Data proves that businesses continue to fall victim to cyber-attacks, leaving sensitive data of customers, workers, or business partners vulnerable to theft or sale to competitors.

Enter Red Teaming- a comprehensive approach to security that not only combats vulnerabilities but also creates robust fences.  In this blog, we will explore the power of red teaming and learn how it goes beyond technical aspects by additionally taking into account human factors such as social engineering, physical security, and other parameters that attackers may use to gain access.

Not reactive, but proactive

The evolution of red teaming as a security technique can be traced back to the military, where it was used to simulate attacks and test defenses during training exercises. Over time, businesses and government agencies began to adopt this approach to assess their own security posture and identify weaknesses in their defenses, before real attacks occur.  Red teaming pretty much adopts the same premise as ethical hacking.  The objective is two-fold: firstly, to assess the preparedness levels and secondly, to identify real-time gaps.

One specific business need that red teaming addresses is the need to be proactive in the face of an ever-evolving threat landscape. Traditional security measures such as vulnerability scanning and penetration testing are reactive in nature, meaning they are designed to detect and respond to existing threats. Red teaming, on the other hand, takes a proactive approach that simulates attacks from multiple angles, allowing organizations to identify gaps in their defenses and strengthen them before an actual attack occurs.

Red teaming Vs Penetration testing

Although red teaming and penetration testing share the objective of detecting and addressing vulnerabilities, their approaches differ in achieving robust security and creating a safer business environment. Red teaming is a comprehensive and methodical approach that involves a full scope cyberattack simulation to identify vulnerabilities and prevent attacks in any environment. In contrast, while penetration testing is essential, it is only a small part of what a red team exercise accomplishes. Penetration testers typically aim to gain access to a network, whereas red team operations have more ambitious goals.

Red team exercises evaluate defensive tactics and produce thorough risk analysis to simulate a more realistic advanced persistent threat (APT) scenario. Red teaming is a larger concept than penetration testing. Red teaming includes evasion and persistence, privilege escalation, and exfiltration, whereas penetration testing just simulates the first step in the cyber kill chain.

As Cybersecurity Ventures predicts, the global annual cost of cybercrime will reach $8 trillion USD in 2023.  This and many more such data points drive home the message that cybersecurity experts must continuously innovate and develop more advanced solutions to combat cybercriminals and respond to emerging threats.

In the above context, implementing red teaming within an organization can provide numerous benefits, such as:

  • Assessing the organization’s defense system through simulated cyberattacks to determine the security level of policies
  • Categorizing related assets according to risk level
  • Detecting and exposing security vulnerabilities and loopholes
  • Evaluating the effectiveness of the organization’s security system during an attack

Typical red teaming approach

1. Foot printing & reconnaissance: 

Foot printing & reconnaissance is one of the pre-attack phases, which refers to the actions taken before the attack itself. In other words, the examination of the security posture of the target organization’s IT infrastructure begins with foot printing. A hacker can gather the following data during this stage:

  • Domain name
  • IP Addresses
  • Namespaces
  • Employee information
  • Phone numbers
  • E-mails
  • Job Information

2. Network penetration testing and application security testing:

Network penetration testing focuses on identifying vulnerabilities in an organization’s network infrastructure, including routers, switches, firewalls, and other network devices. It aims to simulate an attacker’s actions to gain unauthorized access to sensitive information or compromise the network.

Application security testing involves assessing the security of software applications, including web applications, mobile apps, and other custom-built software. The objective is to identify vulnerabilities that can be exploited to gain unauthorized access, manipulate data, or disrupt the application’s normal functioning.

3. Social Engineering:

Social engineering is a manipulation technique that exploits human error to gain private information, access, or valuables. In cybercrime, these “human hacking” scams tend to lure unsuspecting users into exposing data, spreading malware infections, or giving access to restricted systems. Attacks can happen online, in-person, and via other interactions.

Generally, social engineering attackers have two goals:

  1. Sabotage: Disrupting or corrupting data to cause harm or inconvenience.
  2. Theft: Obtaining valuables like information, access, or money.

4. Reporting and analysis:

After the red team’s simulated attack is complete, you’ll go through a reporting and analysis process to determine the path forward. You’ll see how your blue (defensive security) team performed and which key vulnerabilities need to be addressed.

The red team prepares a comprehensive report detailing their findings, including vulnerabilities exploited, attack paths, and recommendations for improving security. The report is typically shared with the organization’s management and relevant stakeholders.

5. Closure:

Once the attack is over, the final closure stage begins. This stage does not only mean managing the leftover digital remnants of the executed attacks. It also means providing the Blue Team with one or more evaluation sessions where the complete timeline is replayed in a workshop to maximize learning and awareness. The result of this phase is a detailed technical report and a perspective on your overall security maturity in your threat landscape.

Why strategize red teaming for your business?

Investing millions of dollars to protect your network may make it seem unwise to employ a team of bug hunters to intentionally breach it. However, as enumerated above in the article the ever-evolving threat landscape makes it imperative to have adequate guards in place.  

To learn more about an effective red team strategy that can ensure optimal security for your organization, contact the InfoVision Red Team at  info.ecrs@infovision.com.

Top Testing Trends in 2023

The recent attention brought to Google’s first demo of Bard reinforces the value of thorough testing prior to releasing products to the public.

Following the rocky start after the first demo resulted in a factual error, Google’s CEO sent a company-wide email calling on every employee to help shape and contribute to the product.  “Next week, we’ll be enlisting every Googler to help shape Bard and contribute through a special company-wide dogfood,” Pichai wrote in the email to employees, as per CNBC. “We’re looking forward to getting all of your feedback — in the spirit of an internal hackathon — more details coming soon,” he concluded.

This process, known as “dogfooding,” entails testing a product internally before releasing it to the public.

The post-pandemic world has undergone a significant shift from digitization towards digitalization.  Staying informed about industry developments is therefore paramount for both organizations and individuals to prevent errors from occurring as also to stay ahead of the curve. What worked in the pre-pandemic world may no longer be relevant, and there is no room for error in today’s digitalized world.

Testing Challenges

One question that naturally follows is: What impact has Digital Transformation had on the Automation field, and specifically on the challenges of software testing?

Despite the advancements brought about by Digital Transformation, the challenges of software testing have largely remained unchanged, with a few new ones added to the list.

These challenges are numerous, and some examples include:

  • Time constraints: Testing can be a time-consuming process and often compromised to meet project deadlines.
  • Resource allocation: Testing requires a variety of resources, including hardware, software, and personnel, and this can be a crunch.
  • Simulation: Setting up a testing environment that simulates real-world conditions can be challenging, especially when dealing with complex systems.
  • End-to-end coverage: Ensuring that all possible scenarios have been tested, especially in large and complex systems can be a Herculean task.
  • Automation: While automation can make testing more efficient, the automated tests need to be dynamic to align with the software that may be constantly changing.

The constantly changing planet of technology is swiftly altering the operations of organizations, affecting every stage of the development lifecycle, including planning, design, development, delivery, and operation. Quality at speed stays at the core of all.

To keep up the exceptional quality at speed, organizations must continuously revamp and innovate their tools and practices to meet production expectations. And there comes the hare footed software testing trends into picture.

Exponentially expanding complexity of systems and environments also trigger snowballing data.  All these lead to enduringly shifting software testing trends that will be the focus of this article.

In my opinion, the following list represents the top ten software testing trends that could emerge in 2023.

1. Hyper-Automation Testing

In simple words, hyper-automation is the active automation, performed using Robotic Process Automation (RPA), Machine Learning & Artificial Intelligence, and Natural Language Processing (NLP).

As technology disruption rushes through space, organizations are shifting towards Hyper-Automation targeting cost cutting, better productivity, and augmented efficiencies through automation. Moreover, Hyper-Automation aids in capitalizing on the data collected and generated by digitized processes.

In short, AI-powered testing tools can find bugs and defects more quickly and accurately than manual testing.

2. Shift left Testing

Imagine if the testers were called only at the end of the project lifecycle, it would be so strenuous for them. Errors and bugs in every functionality would be utterly difficult to trace and rectify. So, defects are less costly when detected early!

That said, don’t you think it would be an ideal use of your resource if they are used to their full potential?

The approach of software & system testing is performed earlier in the lifecycle, in fact in every step of the lifecycle. As the name says, testing shifts the project one step left on the timeline every time.

3. Automated Regression and Regression Optimization

The Automated regression testing technique is becoming mature over period. It is no more a ‘good to have’.  It has become the hygiene factor of any software development process. After any little or big change, the code or part of the application goes into regressive testing immediately.

The testing process is made remarkably effective with test scripts, plans, and workflow to speed up the process and make it more effective. These regression models involve the use of an optimization algorithm to find a set of coefficients for each input to the model that minimizes the prediction error.

4. Script less or Codeless Automation

Have you heard of the jargons no-code, codeless, and script less? Well, meaning the same, script less automation refers to the testing being done using tools and frameworks that require little-to-no code in a variety of ways.

In this testing technique, the software is tested on another software, comparing the actual outcomes with the predicted outcomes.

5. Cloud-based cross-browser Testing

Well, it is a no brainer that a cloud-based solution saves infrastructure set up and maintenance cost. And when it comes to Cloud-Based Cross Browser Testing, it is indeed the need of the hour. Today, when there is a planet of options while picking a device, making sure that your application runs swiftly in all the multifold devices, platforms, browser combinations, and everything under the sky is something where the challenge really begins.

Cloud-based cross-browser testing is therefore the ‘go to’ solution that provides the flexibility and scalability to quickly test applications on different platforms and devices.

6. Non-Functional Testing

Higher-end security & top-level performance is the first on everyone’s list. And, non-functional testing is what comes to my mind!

As the name speaks for itself, non-functional testing is software testing where you test the non-functional parameters. Now, these parameters can range from reliability to load test, performance, and accountability. So, this test essentially evaluates the behavior of the application/system.

7. Agile and DevOps

The Automation testing stream is expected to hit the milestone of USD 30 Billion by 2028. Bidding the same idea, agile development, and testing are making a standout presence these days. The enormous processing pace gives agile testing wide acceptance.

Agile Automation techniques aid organizations to stay ahead in the race with ever-changing business models and optimization of quality assurance automation tools and approaches.

Unlike the waterfall model, DevOps bridges the gap between Development and Operations, curtailing the software lifecycle. In short, Agile and DevOps assist in delivering software with quality and speed.

8. Blockchain Testing

Blockchain applications, unlike the traditional applications, are quite different. And so are the testing techniques.

The structure of blockchain involves several components such as blocks, mining, transactions, wallets, and so on, all of which require special tools to test. Therefore, Blockchain testing is the systematic evaluation of the blockchain’s various functional components.

This testing technique is used to test the security, functionality, and performance of the digital data structure.

By testing every entity of the blockchain, this technique confirms every operational and functional aspect of the network, thereby providing a secure and functional infrastructure with improved user experience.

9. Mobile Test Automation

A good starting point for someone just getting started. Mobile application (app) testing is the process of verifying whether an app designed for mobiles meets certain mobile testing requirements.

What are the types of tests that you can perform on mobile apps? A few of the tests that you can perform on mobile apps are performance testing, stress testing, functional testing, and accessibility testing.

10. Security Testing

 With the increasing number of cyber threats, security testing has become a critical aspect of software development. Organizations are implementing security testing at all stages of the development process to ensure that their applications are secure from attacks.

Final Words

So, that is a whole lot of automation testing trends that you can perform. And, surprisingly, the list does not end there. Yes! The list of testing trends keeps expanding as technology keeps maturing.

In conclusion, the testing landscape continues to evolve. The innovative technologies and methodologies prompt organizations to embrace the trends and position themselves to deliver high-quality software efficiently and effectively.

If you want to find out more about the testing trends & uncover insights to strategize your plans and deliver more reliable solutions, you can write to us at digital@infovision.com  

Driving Agile Success Through a Strong Product Mindset

Ever since the inception of the agile manifesto in early 2000, there has been widespread adoption of the agile methodology in every aspect of software development especially when it comes to large projects.  ‘Individuals and interactions over processes and tools’ is one of the four principles of this manifesto. This means that it is the people who drive the development process and they take precedence over processes and tools.  The implementation of this principle has resulted in the successful development of many products.

A Digital.ai report states that 94% of organizations are doing at least some work in agile and over half of them said that the majority or all of their teams have adopted agile. In addition, 89% of a survey’s respondents said that high-performing agile teams have people-centric values, clear culture, tools and leadership empowerment.

Interconnected concepts of Agile

The Agile product development process is based on three interlinked concepts – people, process and product (PPP). Agile is most commonly associated with processes, occasionally with people and seldom with products.  In today’s era of distributed teams, people work from various locations to develop and enhance a product or solution, together. Despite having good collaboration, sometimes,  team members lose sight of the bigger picture during the course of development. The team remains unaware of how the functionalities they build contribute to the greater value generated. This void is often encountered especially while working on big, long-term projects where disparate teams are involved.  How does one cross the chasm then?

Orienting oneself to a ‘product mindset’ is the medium that will help you traverse the path mainly because the focus then remains steadfast on the ultimate value that gets delivered.  To put it simply, a product mindset is an ‘outside in’ approach that pivots around delivering the best outcomes to the customers in whatever product we develop – be it a service or creating a solution.  Before we proceed, it’s important to note that in this article, when we refer to the “product development mindset,” we are not specifically discussing the process of developing a software product. Instead, this mindset applies to all aspects of a software development project and is relevant to everyone involved.

Incorporating a product mindset while working in agile teams becomes very advantageous as it conveys the bigger picture to all the parties involved. The results of the development process also improve tremendously if everyone has a clear vision of the project.

Agile product development relies on the principle of delivering frequently and incrementally and receiving feedback early in the product development lifecycle. This approach demands vertical slicing of the product in development. Vertical slicing is a technique used in agile software development that focuses on delivering an end-to-end working subset of the whole system.

Agile frameworks including Scrum, SAFe and LeSS are all built around the framework of vertical slicing.

Product vs Project Mindset

The agile approach to software development necessitates a mindset that prioritizes the end goals.  Although agile methodologies have been in use since the early 2000s, teams tend to have a stronger inclination towards a project-oriented way of thinking. As software development teams began embracing agile practices, it is observed that the product mindset has also grown among different teams in an organization. Shifting from a project to a product mindset is a gradual transition. As the agile methods in software development became more widely accepted, the level of product mindset has also increased across different teams in an organization.

A simple piece of functionality that is part of a bigger product becomes a task for a team. While following an agile development system, these tasks are further classified into features (broader perspective) and user stories (detailed level). Many a time, there is a conflict in understanding the difference between project and product, as the terms are widely used corporate jargon and frequently interchanged. However, these are quite distinctive from each other and they generate entirely contrasting ways of carrying out work.

What is a Project Mindset?

The term ‘project’ is often used in varying contexts within organizations. Its definition can vary widely, ranging from small development tasks to large-scale technology proposals. In fact, any small or big task that needs to be executed is commonly referred to as a project. In traditional non-agile environments, the process of product development is divided into smaller tasks and functionalities. These smaller tasks are often referred to as ‘projects’ even though they are part of a larger product.

Associating every single task to a project may help in tracking the progress of the development, but it creates a ‘project mindset’ in developers. A project mindset limits an individual’s creativity to time constraints and delivery goals, making them lose track of the overall vision. The level of creativity and curiosity takes a serious hit if every piece of work is done with a project mindset.

Product Mindset

A product mindset on the other hand encompasses a set of ideas and principles that enable visualization of how a specific functional output fits into the overall development of the product. This mindset can be cultivated only with a complete understanding of the larger picture.

The level of product mindset also varies according to the teams. For instance, a team that has limited exposure to only development will have a lower level of product mindset compared to a team with experience in development and testing. Similarly, a team that has experience in development, testing and maintenance processes will have the highest level of product mindset. Adopting a product mindset enables quicker realization of the overall vision, improving collaboration and delivery to a large extent.

Having a product mindset renders multiple advantages, including:

  • Improvement in quality and functionality of the product
  • A shared understanding and collaboration among teams
  • Enablement of an agile approach for delivery
  • Increased agility as the integrated system is built with product overview, reducing bottlenecks
  • Sparking new ideas and encouragement to innovation
  • Simplification of complex systems
  • Increase in customer-centric thinking
  • Increase in output and productivity

Varying Levels of Product Mindset

A team’s level of ‘product mindset’ is heavily influenced by their participation in the product development process. Generally, teams that contribute to the innovation stage or the minimum viable product (MVP) stage exhibit a stronger product mindset. The MVP stage is the most rudimentary version of a product that meets the minimum requirements while also allowing for future enhancements.

The levels of product mindset of individuals also vary based on their roles. Generally, those in positions such as product owners, product managers, and design experts tend to have a higher level of product mindset. However, the extent to which one adopts either a product or project mindset can also be influenced by their professional journey. Those who are familiar with traditional ways of working, such as the waterfall model, are more likely to have a stronger project mindset than a product mindset.

Although adopting a product mindset generally offers numerous advantages, there are circumstances, roles, or team members for whom it may not be as effective. Examples include:

  • Limited experience and exposure
  • Being accustomed to working on only small pieces of functionality
  • Having a project mindset, with a focus on completing tasks within a set time frame, rather than understanding the end objectives
  • Dependence on digital tools that increase productivity but stifle creativity
  • Lack of a complete system overview
  • Being overwhelmed with workload
  • Different work locations or product usage locations
  • Inadequate skillsets among team members

Developing a product mindset

The adoption of agile product development nurtures a product mindset. In this approach, product owners and managers prioritize faster delivery and quick feedback on epics, features and user stories. All the functions within agile development, when implemented effectively, result in developing a product mindset.

Nonetheless, various agile practices have proven to be especially effective in fostering a product mindset, such as:

  • Planning poker
  • System demo
  • Ceremonies with product owners and product managers
  • Backlog refinement
  • Test-driven development
  • Behaviour-driven development

One of the key enablers of agile product development is ’transparency’. If transparency levels aren’t adequately maintained amongst stakeholders, the ecosystem becomes rigid and impacts agility. By having a high level of product mindset among team members, it is possible to prevent such situations.

Cross-functional teams trained in agile development systems possess necessary skills to boost the level of product mindset and technical agility within the team.

Additionally, promoting a culture of continuous learning through hackathons and innovation events can further enhance the product mindset throughout the organization. Possessing a robust product mindset is essential for the agile product development process and for creating exceptional products.

Conclusion

Overall, a product mindset can enable organizations to be more agile, responsive, outcome-driven and customer-focused, leading to efficient project management and effective deliverables.

Significance of TPRM In enterprise risk maneuver

Enterprises continuously strive to engage in successful business partnerships with third-party companies and vendors to drive growth, expansion and also to speed up operations. This rapid growth strategy however exposes the company to growing risk of being breached by sometimes ‘unreliable third-party entities’. The continuous interactions and exchange of information that such arrangements entail open the possibility of potential data breaches thus putting the organization to great risk.  

One of the critical measures that enterprises must necessitate within themselves at a nascent level is to have stringent metrics while considering engaging with a third-party vendor. Organizations must prioritize an effective third party risk management framework aka TPRM framework to mitigate undue risks and excessive costs incurred due to untoward incidents. While the relationships are important and critical for the businesses to thrive, yet the associated factors such as cyber risks, loss of reputation or even regulatory mishaps need to be factored with utmost priority. The answer therefore lies not in limiting engagement with third parties, but in ensuring effective management of third-party risks so that business is conducted with utmost trust and confidence.

As per a study by Markets and Markets, the size of the global Third-Party Risk management (TPRM) market is expected to grow from USD 3.2 billion in 2019 to USD 6.4 billion by 2024. The CAGR growth rate is 15.9% higher in the forecasted period.  This is a clear indication that organizations dependent on third-party vendors are seriously considering the use of TPRM for their enterprises.

The purpose of this blog is to provide a foundational understanding of the Third-Party Risk Management (TPRM) realm and to emphasize the significance of selecting the right security expert to provide adequate measures.  Let us begin with the fundamentals to get a comprehensive grasp of the subject in discussion.

What is TPRM?

Third Party Risk Management, also abbreviated as TPRM, is an ongoing process of discovering, assessing, and controlling third-party risks related to organization’s data, their operations, financial information, or any type of confidential exchange.

Organizations collaborate with third-party vendors for two major reasons. The first is to support their business operations, and the second is to leverage additional benefits from these third-party vendors. This engagement massively contributes to reducing costs, focusing more on core business functions, and enabling best-in-class service from experts of relevant industries.

On the flipside, this kind of arrangement exposes organizations to unwanted data breaches along with cybersecurity & regulatory compliance risks that have the propensity to disrupt your business operations and damage reputation. Verifying third parties’ reliability requires due diligence.

Gartner’s prediction concurs with the above sentiment. By 2025, 60% of organizations will use cybersecurity risk as a significant determinant in conducting third-party transactions and business engagements.  This data insight is an eye opener to why one needs an TPRM program in the first place.

Now that the basis of the TPRM program is set, let us understand how a third-party risk management system works? What is the process and how does the typical workflow function?

Typical TPRM Workflow

To start with, organizations must identify all the vendors and begin categorizing them as per enterprise dependencies for sustainability and on the basis of critical business operations. Once you have identified the potential of the third party you want to associate with, start following these steps.

  1. Review contracts with complete due diligence.
  2. Identify the required people, process, and the technology controls to be adhered by the vendor.
  3. Perform a detailed third-party risk assessment (TPRA) to ensure that the underlying risks are mitigated and are within the acceptable risk levels.
  4. Ensure there is a remediation plan in place to timely mitigate vendor risks.

As an example, here is an illustration of a typical TPRM workflow we at InfoVision follow for our TPRM services:

Devising a Cyber Due Diligence Plan:  The  InfoVision Way

It is a daunting task for enterprises to find the best and the right security experts for their TPRM initiative. Other than the process of finding the right fit, there are additional challenges such as,

  • efficient fit-for-purpose process and procedures
  • identification and mapping of various regulatory compliance/controls with respect to available vendors, and
  • Automated TPRM programs

These are some of the major setbacks for security leaders. An effective TPRM program can improve overall visibility & results, easily validate, review third-party artifacts, take measures for potential risks and improve on efficiency.

InfoVision employs a distinctive strategy to strengthen its defense against potential hazards that may arise from third-party companies or vendors. This is achieved by thoroughly screening vendors through TPRA and selecting the appropriate ones. As the process progresses, all issues associated with third-party vendors are documented and evidence is collected. This evidence is then reviewed and analyzed, and a response is provided to the third-party provider, ensuring that they rectify the identified risks within the agreed-upon timeframe. The discrepancies are presented to our client’s leadership in the form of reports and dashboards utilizing automated GRC tools.

Here are the distinguishing factors and added benefits of our TPRM program.:

  1. Customed dashboards and various compliance reporting templates help our client CISOs to take better informed decisions.
  2. A dedicated security advocate to assist client vendors in redefining their people, process, and technology controls to improve their compliance and security posture.
  3. Our approach optimizes the use of security experts and promotes left shifting by employing GRC tools for automation purposes.
  4. We create and implement a tailored TPRM program process, procedures, and framework that aligns with the unique needs of our clients.

In this way, InfoVision helps its clients to accelerate their Vendor Risk Management programs, thus limiting human errors, ensuring timely risk identification, providing for scalability with no additional resources, and improved governance & compliance.

How can a TPRM program be a game changer?

As per KPMG, Six out of ten people (61%) think TPRM is undervalued given its crucial function for the organization. Businesses might sustain greater expenditures and gain new efficiencies when it comes to resilient operations, cyber security and fraud detection if they have a strong TPRM program rather than just focusing on its individual components.

Additionally, leveraging automation through third-party risk management frameworks and technologies is a viable alternative when looking for ways to advance third-party security.

InfoVision is proficient with a dedicated team of specialized Enterprise Cybersecurity & Risk Services (ECRS) practitioners and experts who can help you with a ‘fit-to-purpose’ for your business. We can help your security leadership teams manage the TPRM program and devise your overall security strategy. Our unique approach leverages a blend of technology, industry experience, security domain expertise and fine-tuned processes to help you conduct your business with trust and confidence.

Raise your queries and speak to our specialists by writing to us at info.ecrs@infovision.com.

Blockchain is the next big step in automated border control systems

For decades now automated border control systems, popularly known as eGates, have been used at the border crossing points primarily to speed up clearance process. A significant benefit that the system delivers is that it quickly scans and verifies identities of the travellers entering the borders, thus restricting illegal entry into countries.  This proves effective in preventing terrorism and human trafficking to a large extent. The system is geared to verify the travellers’ identities through biometric parameters without Physical or human intervention.   This ultimately enables organization and management of people traversing the borders more effectively and efficiently.

According to Mordor Intelligence, “the automated border control market is expected to witness a CAGR of 16.25% over the forecast period (2021-2026).  The increasing threat of terrorist attacks and the security standards that have been set by the international authorities that include IATA, ICAO and ACI are among the two most influential drivers sustaining the market.”

Machine Readable Formats Make It Possible

Governments have made significant investments and implemented multiple innovative solutions to strengthen border security control. A machine-readable passport (MRP) is a foundational pillar of cross-border security. MRP is a type of machine-readable travel document (MRTD) that has identification data encoded in optical character recognition (OCR) format.

MRTD is an official travel document, standardized across the globe, issued by a state or organization for international travellers. This OCR-based document makes it easier for automated systems to scan the travel document and its interoperability allows authorities to check visitors against a criminal database to restrict entry.

MRTD contains a standardized format of various identification details of the traveller that includes a picture or a digital image along with mandatory and optional identification elements. The mandatory elements apart from the photograph, are reflected in a two or three-line machine readable zone (MRZ). The MRTD standards are defined in the ICAO 9303 document published by the International Civil Aviation Organization (ICAO) and have been implemented by many countries around the world. MRTD and biometric passports have significantly improved the efficiency of the border control management system.

A widely used MRTD is the machine readable passport (MRP) and each MRP contains various biometric elements to identify the right owner. These elements include retina scans, fingerprints and facial recognition. It also has ICAO-specified features including MRZ and other text attributes that are visible on the first page of the passport.

The key issue with the current border control management system is its centralization.  The systems are controlled by a single entity. As a result, data is not readily shared among different law enforcement agencies. This makes it rather difficult to track down suspected individuals. Also, currently there are no systems available to immediately track, control, blacklist or revoke a suspected passport.

Blockchain for border security controls

Blockchain technology is proposed as an effective solution to mitigate the existing border control management challenges. A list of blacklisted or flagged travel documents can be stored and maintained in a smart contract (one of the features of Blockchain technology). This list can be updated as and when required. Any incremental change made to this list will immediately be visible to all law enforcement agencies and border control points, thus enabling immediate control over the movement of a suspected traveller.

Arguably, traditional mechanisms like PKIs and P2P networks can also be used for tracking down suspected travellers. However, it would fall short of what Blockchain can provide.

Blockchain can simplify the whole system without complex networks and PKI setups, and therefore result in significant cost reduction. Border control management system backed by Blockchain can provide cryptographically guaranteed immutability that helps in auditing and preventing fraudulent activity. A complete database with all travel documents perhaps cannot be effectively maintained or stored in a blockchain network currently due to scalability issues. However, a distributed backend database such as BigChainDB, interplanetary file system (IPFS), or Swarm can be a good substitute.

How to Make It Work?

A hash of the travel document that has the biometric ID of an individual can be stored in a simple smart contract and another hash of the same document can be used to refer to detailed information that is available on the distributed file system such as IPFS. This ensures that when a travel document is blacklisted anywhere on the network, that information will be available immediately with the cryptographic guarantee of its authenticity and integrity throughout the distributed ledger. This functionality can effectively support anti-terrorism activities, thus playing a vital role in the homeland security function of a government.

A smart contract will have a defined array for storing individual details, their respective biometric records and other critical details of identification. These identifying details can be a hash of the MRZ of the passport or travel document that is concatenated with the biometric record derived from the RFID chip. A simple boolean field can be used to identify blacklisted passports. Further detailed biometric verification can be done by traditional systems after the traveller passes all the checks done by the blockchain solution. Eventually, when the decision is finally made regarding the permission for entry status of the traveller, it can then be propagated back to the blockchain network to inform all the stakeholders on the network immediately.

Building blocks of Blockchain-based control system

A high-level approach to building a blockchain-based border control system is illustrated below, for quick understanding:

Here, the passport is initially inspected twice: once with a page scanner and once with an RFID reader. The page scanner reads the data on the page and extracts machine-readable information along with a hash of the biometric data stored in the RFID chip. A live photo and retina scan of the traveller are taken at the time and stored in the database. This information is then passed on to the blockchain network for further checks. A smart contract from the blockchain network will verify the legitimacy of the travel document in two steps. It will first scan through its list of blacklisted passports and then it would request more data from the backend IPFS database to complete the check for flagged passport holders. Note that biometric data such as photo or retina scans are not directly stored on the blockchain network. Instead, only a reference to this data from the backend (IPFS or BigChainDB) is stored in the blockchain.             

Conclusion

To strengthen the border security control system, the gate is programmed to allow access to the traveller only if the travel document data passes two main checks. Firstly, the data presented in the passport should match that of the IPFS/Bigchain DB files. Secondly, it should pass the smart contract logical check. If the data fails to meet one or both checks, access to the gate will be denied and respective authorities will be alerted. After the verification process, the information is propagated throughout the blockchain network and is instantly available to all stakeholders on border control. These stakeholders can be a worldwide consortium of homeland security departments of various nations.

To know more, talk to our Blockchain expert – Dr. Arvind Deenadayalan, Global Head of Blockchain Practice

10 Important Features to Watch out for in Salesforce Admin Spring ’23 Release

The Salesforce Spring ‘23 release is around the corner. This release seems to be packed with plenty of great news. While few of the features that were scheduled for a later release seem to have been preponed, there is other amazing stuff that is visible in the beta version.  Overall the bag of goodies seems to be loaded and the anticipation is high!

As a tradition, Salesforce makes major releases three times a year. These releases are awaited with lot of expectation as they are intended to offer new features and technology updates that the admins can leverage.  I feel that the Spring ‘23 release will definitely help drive productivity and boost security.  While building great user experience (UX) seems to have been factored, I see lots of opportunities for building fantastic apps for both internal and external stakeholders.

This article focuses on the 10 most important features of the Salesforce Spring’23 release for Admins, according to me.

1. Migrate Process Builder to Flow

In Dreamforce 21 Salesforce announced the retirement of Workflow and Process Builder and scheduled the release of migration tools to Flow.  As of now, only migration of workflow is available.

With the release of Spring 23, salesforce is releasing the updated Migrate to Flow tool that will support the migration of Process Builder. You can now use the tool to convert Process Builder processes to Flows.

The updated Migrate to Flow tool can help your transition to Flow Builder. In addition to workflow rules, you can now use the Migrate to Flow tool to convert Process Builder processes into flows. Flows can do everything that processes can do and more.

From Setup, in the Quick Find box, enter Migrate to Flow, and then select Migrate to Flow. On the Migrate to Flow page, select the process that you want to convert into a flow, and then click Migrate to Flow. Then select the criteria that you want to migrate to the flow. After the process is migrated, you can test the flow in Flow Builder. Test the new flow, and if everything works as expected, activate the flow and deactivate the process you converted.

Migrate Process Builder to Flow

2. Build Custom Forecast Pages with the Lightning App Builder

Forecasting in Sales Cloud has seen a good number of updates over the last few releases. In Spring ‘23 you can design and build custom forecast pages using the Lightning App Builder.

As a result of the ease of building flexipages that the

gives, you can build pages using standard and custom components. Your page designs can evolve as fast as your sales processes. You can create and assign different layouts for different users.

Lightning App Builder

3. Collaborate on Complex Deals with Opportunity Product Splits

In complex business transactions or negotiations, generally there is no single person responsible for the closure of the deal, as it involves an entire team. Splitting the opportunity allows one to track credit across multiple team members. Earlier such splits were possible with Opportunity only. Now with the Spring’23 release, the split at Product level will also be available.

4. Importing Contacts and Leads with a Guided Experience

With new Guided Experience, when users select to import contacts or leads, they are now presented with multiple options to import data, depending on their assigned permissions.

Importing Contacts and Leads with a Guided Experience

The new wizard provides a simple interface that allows the steps to import a CSV file

5. Dynamic Forms for Leads AND Cases

The Salesforce Dynamic Forms is an early release by salesforce. With Dynamic Forms, now case and lead record pages can be configured to make these more robust. Earlier this capability was available only for account, contact and opportunity record pages.

With the Spring ’23 release, Dynamic Related Lists will include the ability of “View All”.  This link will enable users to see the complete list of related records.

7. Dynamic Actions for Standard Objects

Now Dynamic Actions are available for all standard objects. Earlier it was available only for Account, Case, Contact, Lead and Opportunity.

Dynamic Actions will enable to create intuitive, responsive, and uncluttered pages which display only the actions your users need to see based on the criteria you specify.

Instead of scanning an endless list of actions, users will be presented with a simple choice, relevant to their roles and profiles, or when a record meets some criteria.

8. Track Field History for Activities

Now up to six fields for Task and Event can be tracked when Field history tracking for activities: is turned on.

Field history tracking for activities

9. Picklist Updates

Picklist fields got lot of new features added, like:

  • Clean Up Inactive Picklist Values
  • Bulk Manage Picklist Values
  • Limit the Number of Inactive Picklist Values (Release Update)
  • There are also two new standard picklist fields available on Leads, Contacts, and Person Accounts. Gender Identity and Pronouns are now included as optional fields.
  • Capture Inclusive Data with Gender Identity and Pronouns Fields.

10. Reports and Dashboards

Reports and Dashboards have got many exciting updates.

  • Creating Personalized Report Filters
    You can now create dynamic report filter based on the user’s profile so that the users view records specific to them.
  • Subscribe to More Reports and Dashboards
    In Unlimited Edition org, now Users can subscribe up to 15 reports and 15 Dashboards. Earlier it was restricted to 7.
  • Stay Informed on Dashboard and Report Subscriptions
    You can now create a custom report type to see which reports, dashboards, or other analytic assets users have subscribed.
  • Stay Organized by Adding Reports and Dashboards to Collections
    Now you can use collections to organize the reports and dashboards even if they exist in multiple folders. You can also pin important collections to your home page, hide irrelevant collections, and share collections with others.
  • Focus Your View with More Dashboard Filters
    You can refine and target the dashboard data with additional filters on Lightning dashboards. Now no need to maintaining separate versions of the same dashboard for different business units and regions with only three filters. This is in beta only.

Conclusion

Salesforce Spring’23 release, I feel, will certainly not disappoint the administrators as a lot of ‘most awaited’ features seem to have made it to this release. Few features that were seen in the beta came as a pleasant surprise. I would definitely encourage you to read the release notes so that you can identify the features that are important to you.

We, at InfoVision, have a dedicated Salesforce Center of Excellence that focuses on innovation – through which we develop new salesforce competencies.  We leverage lots of tools, processes and accelerators to build industry-specific use cases that pertain to global standards.  We therefore follow each and every release that Salesforce makes with lots of interest and curiosity.  The releases create opportunities for us to innovate and find differentiating ways by which we can solve the unmet needs of our customers.

I am happy to have more in-depth discussions on any aspect of Salesforce with those of you who are interested.