The zero trust model: “trust no one” approach to cybersecurity

‘BeyondCorp’ was Google’s initiative of 2010 that paved the way for secure access to corporate resources from any location or device without a VPN. This was the first instance of an implementation of the zero trust approach that aimed at enhancing security with a focus on identity and context rather than relying solely on perimeter-based defenses.

Zero trust model: a paradigm shift in cybersecurity

The need for continuous authentication and authorization led to a ‘never trust, always verify’ principle that became the basis of a new model proposed by Forrester Research analyst John Kindervag in 2014. ” In a report titled “No more chewy centers: introducing cybersecurity zero trust,” John Kindervag mentioned that zero trust assumes no one, whether inside or outside the network, can be trusted without verification.

 In today’s world, cybersecurity threats are more complex and sophisticated than ever before. Traditional security models are no longer sufficient to protect sensitive data. Organizations need to adopt new approaches to ensure that their data is secure.

Zero trust is one such approach that offers a more effective way to protect sensitive data. Let’s find out why zero trust is a good approach toward cybersecurity.

The zero trust security model coils around the idea of every user, device, or application being a potential threat until proven otherwise. This approach has gained popularity in recent years due to the increase in cyberattacks and the need for more comprehensive security strategies.

Do we really need a zero trust model to protect our organizations?

A substantial number of organizations around 41%, participating in a global survey expressed their commitment to implementing a cybersecurity zero trust strategy, signifying a growing recognition of its benefits and an early phase of adoption.

Implementing a zero trust approach is, undoubtedly, one of the most effective ways to protect our organizations against cyber threats, but whether it is necessary for your specific organization depends on a variety of factors.

If your organization deals with sensitive data, such as financial or personal information, or if you have valuable intellectual property that needs to be protected, then implementing a zero trust model is highly recommended. Zero trust can help prevent data breaches, reduce the risk of insider threats, and provide better control over user access to sensitive resources.

However, if your organization doesn’t handle sensitive information, and you have a small, well-defined network perimeter, you may not need to implement a cybersecurity zero trust model. In this case, traditional security measures such as firewalls, antivirus software, and intrusion detection systems may be sufficient.

Ultimately, the decision to adopt zero trust security services should be based on a comprehensive risk assessment and an understanding of your organization’s specific security needs and resources.

How does zero trust security work?

Zero Trust involves implementing a set of security policies and controls to authenticate and authorize every access request to resources, regardless of the user’s location or the device they’re using. This includes implementing multifactor authentication, role-based access controls, and continuous network traffic monitoring. To achieve this, organizations need to adopt a holistic approach that includes people, processes, and technology.

With the rise of remote work and cloud computing, the traditional perimeter-based security approach is no longer effective. Zero trust offers a more effective way to protect sensitive data by limiting access to only authorized users and devices. By adopting this approach, organizations can significantly reduce the risk of data breaches and protect their sensitive information from unauthorized access.

Moreover, zero trust can comply with organizations’ help with data protection regulations such as the GDPR and the upcoming ‘Personal Data Protection Bill’ in India. By implementing zero trust, organizations can demonstrate their commitment to protecting the privacy of their customers and employees.

How can the zero trust model be a game changer?

Zero trust security model provides

  • Improved security
  • Reduced risk of data breaches
  • Increased visibility and control over network access
  • Simplified compliance with industry regulations

As organizations rely on digital technologies, the need for robust cybersecurity measures has become more critical than ever before. The zero trust model provides a comprehensive and effective approach to cybersecurity, offering enhanced security, reduced risk, improved compliance, and increased visibility. Implementing this model may require significant effort, but it’s a worthwhile investment in protecting sensitive business-critical data and safeguarding against cyber threats.

We at InfoVision help our clients to reduce risks (ransomware, supply chain attacks, insider threats) by providing consideration services like SOC (Security Operation Center), multifactor authentication (MFA), identity management, access management, identity governance, SSO & federation, and privileged access.

Why incorporate the zero trust model in your business?

If you go with the stats, between 2021 and 2022, there was a 2.6% increase in the average cost of a data breach, with the figure rising from $4.24 million to $4.35 million. And implementing the best Zero Trust solutions or approach can result in substantial cost savings, reducing the financial impact of a data breach by approximately $1 million.

Zero Trust provides a more effective way to protect sensitive data in today’s digital world. By adopting a zero trust approach, organizations can limit access to only authorized users and devices, significantly reducing the risk of data breaches.

This zero trust access management also helps organizations comply with data protection regulations, ensuring that they protect the privacy of their customers and employees. The need for zero trust is more critical than ever, and organizations should consider adopting this approach to ensure the security of their data.

Endpoint security

Organizations are increasingly embracing Zero Trust principles to enhance endpoint security. This involves continuous monitoring of device health and strict access control enforcement. The objective is to eradicate implicit trust, ensuring that all access to assets and users is rigorously verified, thereby elevating security measures.

Cloud-first zero trust platforms

Cloud-first Zero Trust platforms are rapidly gaining popularity due to their inherent benefits. They are known for being cost-effective and scalable, offering clientless capabilities as an alternative to traditional endpoint agents. This innovative approach is making waves in the security landscape.

Increasing adoption of zero trust

Currently, a substantial 83% of security professionals consider Zero Trust a vital part of their security strategies. Remarkably, 80% of them intend to implement Zero Trust in 2022. This widespread commitment reflects a growing recognition of its crucial role in enhancing overall security posture.

Zero trust in different sectors

Sectors like insurance, financial services, and manufacturing now recognize Zero Trust as paramount for enhancing visibility and control over their endpoints. They are actively integrating Zero Trust principles into their cybersecurity strategies to bolster their defenses, acknowledging the potential benefits.

Zero trust as a cybersecurity concept

Zero Trust stands as a foundational cybersecurity concept aiming to eradicate implicit trust within security frameworks. Its core tenets involve continuous access verification and the enforcement of the principle of least privilege. The National Institute of Standards and Technology (NIST) has provided comprehensive guidelines for the design and deployment of Zero Trust architectures.

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Integration with DevSecOps

Incorporating security practices into the development pipeline has become a crucial strategy for organizations. This proactive approach ensures that security is an integral part of application and service development right from the start.

Zero trust network access (ZTNA)

The increasing prominence of Zero Trust Network Access (ZTNA), often referred to as “Software-Defined Perimeters,” is remarkable. ZTNA solutions empower organizations to finely manage user and device access to specific resources, regardless of their physical location. This capability plays a significant role in reducing potential vulnerabilities and boosting overall security.

In the realm of cybersecurity innovation, our solution, Invisinet is making its mark. Built upon the intellectual property of Blackridge, Invisinet serves as the gateway to where Zero Trust truly begins.

Invisinet’s network and cloud security solution called Transport Access Control (TAC) enables efficient cyber defense in IIoT, smart edge, and cloud settings. TAC stops unauthorized access to IT/OT resources.

Invisinet First Packet Authentication is a crucial feature of TAC, which inserts a cryptographically generated, single-use identity token on each side of a TCP/IP session without affecting TCP compatibility. When TAC receives the connection request, it extracts and authenticates the identity token, and applies a security policy – forward, redirect, or discard – based on the TAC identity.

So, TAC’s identity-based protection kicks in as soon as it can, making sure that any unauthorized or unknown traffic is barred from your network, enhancing security, and lowering risk.

To learn more about First packet authentication by Invisinet and the zero trust cybersecurity model, contact InfoVision’s expert team at  info@infovision.com.

Decoding data classification: A simplified yet comprehensive handbook

The sixth edition of the ‘Data Never Sleeps’ report unveils the astonishing reality of data production in our world, with colossal amounts generated every single minute. Each day, a staggering volume of data, totaling over 2.5 quintillion bytes, is produced, and this upward trend shows no signs of slowing down.

In this digital age, all organizations – big or small – are producing significant volumes of data (both structured and unstructured). While on one hand, the surge in data creation holds promise for businesses and consumers with regard to the discovery of valuable insights; on the other, attention has to be paid to the crucial aspect of data confidentiality – not only from a regulatory compliance standpoint but also from a business sustainability perspective.

The fundamental step to achieving data protection is the identification and classification of critical data. The other steps include,

  • Data labeling
  • Data loss prevention
  • Data masking
  • Data encryption

This blog is intended to give you a clear understanding of data classification and its role in data management and security.  We also touch upon different approaches and tools that help do this effectively.

An overview of data classification

Data classification is a crucial process that enables organizations to effectively manage their data. It involves categorizing data into different levels, such as public, private, and confidential. Additional security controls are implemented based on data classifications to enhance data protection further. These measures also assist in making better policy decisions based on different data categories.

The absence of data classification increases the risk of:

  • Data breaches
  • Non-compliance with regulations
  • Lack of transparency
  • Ineffective incident response
  • Poor data management

Effective data classification strategy

The classification mechanism simplifies data retrieval and location, which is essential for risk management, compliance, data security, and conforming to rules like GDPR, HIPAA, and PCI DSS compliance.

Three main types of data classification

Data classification involves the use of multiple tags and labels that indicate the data’s type, confidentiality, integrity, and availability. The sensitivity level of the data is determined based on its importance and confidentiality, which in turn influences security strategies. The industry typically recognizes three primary types of data classification as the standard:

Content-based

Analyzing the content of the data, such as the text in a document or the pixels in an image, to determine its classification. Content-based data classification is a powerful tool for data protection and management.

Context-based

This approach considers the location, purpose, and use of the data. Context-based data classification can be useful for organizations that deal with large volumes of data with varying levels of sensitivity. It allows organizations to categorize data based on its intended use, making it easier to manage and protect the data.

User-based

It is valuable in organizations where data sensitivity varies significantly across different departments or individuals. Users may have a better awareness of changes in data sensitivity than a centralized data classification system, enabling them to promptly adjust the classification level as needed. Allowing users to classify data based on their unique knowledge ensures proper protection and management of sensitive data. However, user-based classification also presents challenges, such as potential inconsistency in classification and the risk of user error.

InfoVision’s strategic approach to data classification

Effective data classification is a key element of a comprehensive cybersecurity strategy because it helps organizations identify the most valuable and sensitive data and apply appropriate security measures to protect it.

InfoVision presents an excellent plan of action.  It empowers businesses to identify and implement the most sensitive and valuable security measures, ensuring robust data protection.

Typical tools used in data classification

Data classification technologies save administrative expenses, enhance digital data file maintenance, and reduce redundant data. Data classification was solely a user-driven procedure for a long time. Today, automation has emerged as a viable alternative.

In order to streamline data management, organizations can establish sophisticated systems that empower users to efficiently categorize the documents they produce, transmit, or modify, along with newly generated data. Additionally, users have the option to classify older materials, ensuring a systematic approach for comprehensive data organization; otherwise, they will be managed as uncategorized, potentially leading to inefficiencies in data handling.

Here’s a quick overview of some of the software solutions focused on data protection and classification:

AIP (Azure Information Protection)

This technology component of the Microsoft Azure family of cloud-based services is used to secure data in both on-premise and cloud. The main advantage of the AIP tool is its easy interaction with other Microsoft applications, making it simple for users to categorize and protect their data within a familiar work environment.

CipherTrust data discovery and classification tool

It helps businesses locate and manage sensitive data on-premise, in the cloud, as also in hybrid settings. With the help of this technology, companies can build and implement specific data classification policies, recognize or address security concerns as they arise, and monitor data in real time.

Titus

Titus aids in the identification and classification of sensitive data, the implementation of access control measures, and the prevention of data loss. Its integration with various security and information management systems (SIEM) helps the security team easily identify and respond to potential security issues.

InfoVision’s approach

In the realm of modern businesses, a data classification policy stands as the cornerstone of robust security measures. Without a uniform framework to classify data, safeguarding sensitive information becomes an insurmountable task. After all, protecting data is contingent on acknowledging its existence, pinpointing its location, and determining the need for safeguarding.

InfoVision provides a range of specialized services and solutions like data classification, data labeling, data loss prevention, data encryption, and data masking. By leveraging the latest technology and tools, InfoVision helps organizations stay ahead of the constantly evolving security threat landscape.

For any further queries or suggestions, write to us at  info.ecrs@infovision.com.

To ensure optimal security for your organization, learn more about an effective red-teaming strategy. Don’t miss our blog on red teaming, read here: Red teaming: The future of cybersecurity preparedness (infovision.com).