Zero Trust Data Security: Explained

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Zero Trust Data Security: Explained

Zero Trust Principles

Zero Trust principles are a set of security concepts that aim to protect an organization’s systems, data, and resources by assuming that all access attempts are potentially malicious, even if they are from within a secure network, resource, or application. The following are the key principles of Zero Trust:

Never trust, always verify: All users, devices, and applications must be verified and authenticated before being granted access to any resources.
Least privilege access: Access should be granted on a need-to-know basis, and users should only be granted the minimum level of access required to perform their job functions.
Assume breach: Assume that an attacker has already compromised a secure resource and acts accordingly to limit the attacker’s access and ability to move laterally within the network, system, application, or database.
Micro-segmentation: Segment resources into small, isolated zones to limit the spread of a breach and prevent attackers from moving laterally.
Continuous monitoring: All access attempts must be continuously monitored for signs of suspicious behavior, and appropriate action must be taken in response to any suspicious activity.
Contextual awareness: Security policies and access controls must be based on contextual awareness, such as the user’s role, device location, and sensitivity of the data being accessed.

By following these principles, organizations can better protect their systems, data, and resources from cyber threats. Zero Trust principles help organizations to reduce their attack surface, minimize the impact of a breach, and improve their overall security posture by continuously verifying the identity of users and devices and evaluating the risk profile of access requests.

Data-Centric Security Principles

Data-centric security principles are a set of principles that are focused on protecting an organization’s sensitive data at the data level, as opposed to simply relying on traditional perimeter-based security measures. These principles aim to ensure that the organization’s sensitive data is secured at all times, regardless of its location or how it is being accessed. The following are some of the key principles of data-centric security:

Data Classification: All data must be classified according to its sensitivity, and access must be granted on a need-to-know basis.
Persistent Data Encryption: Sensitive data must be encrypted both in transit and at rest to protect it from unauthorized access.
Data Obfuscation: Sensitive data must be masked or redacted, or replaced with a token, which can be used for certain processes without exposing the underlying data to unauthorized access.
Data Segregation: Data should be segmented as fine-grained as possible, so that access to data can be limited to the minimum necessary for each access request.
Data Authorization and Entitlement: User entitlements to data must be granted on a need-to-know basis and only after the identity of the user and device has been verified and the risk profile of the access request has been evaluated.
Data Loss Prevention (DLP): Measures must be taken to prevent data loss, such as preventing unauthorized copying, printing, or emailing of sensitive data.

Data-centric security principles help organizations to better protect their sensitive data by focusing on securing the data itself, rather than just the perimeter around it. By following these principles, organizations can reduce their attack surface, minimize the impact of a breach, and improve their overall security posture by continuously verifying the identity of users and devices and evaluating the risk profile of access requests.

Applying Zero Trust Principles to Data-Centric Security

Zero Trust and Data Centric security can be complementary approaches to security. Zero Trust can help to limit access to sensitive data, while Data Centric security can help to protect the data itself. By combining the two approaches, organizations can create a comprehensive security strategy that provides both network-level and data-level protection, helping to improve their overall security posture.

A Zero Trust Data Security approach allows organizations to do the following.

Implement Least Privileged Access and Need-to-Know by defining and enforcing security policies that provide fine-grained data access and authorizations to allow users to view and use all the data they should be able to access and nothing more.
Segregate Data for export and regulatory compliance by virtually segmenting shared resources.
Secure Collaboration with Persistent Data Protection that stays with the data and protects it at rest in databases, in use within applications, and on the move when it is shared.
Unify Access Control with Attribute-Based Access Control (ABAC), eliminating the need for large numbers of groups or roles and replacing them with a small number of policies where user, data, and environmental attributes are evaluated dynamically at the time of the access request.
Externalize Access Management and Eliminate Security Silos so that security policies are enforced consistently across the entire organization.

With Zero Trust Data Security, organizations can better protect their sensitive data from cyber threats and ensure that access remains in compliance with security policies. The combination of Zero Trust and Data-Centric Security principles help organizations to reduce their attack surface, minimize the impact of a breach, and improve their overall security posture by continuously verifying the identity of users and devices and evaluating the risk profile of access requests.

Zero Trust Data Security Solution Use Cases

The following are some of the common business applications of Zero Trust Data Security.

Modernization – With Zero Trust Data Security enterprises can keep data secure during system modernization projects by providing centralized authorization for legacy and new applications.

Segregation of Duties (SoD) and Compliance – Global enterprises often have many different and overlapping regulations that they need to comply with. Zero Trust Data Security allows organizations to enforce segregation of duties to ensure no violations of applicable regulations, including GDPR, SOX, ITAR, FDA, etc. while automating controls and the audit process.

ERP Consolidation – Enterprises are driven to consolidate multiple existing ERP instances into a single global instance for all of the efficiencies this brings. Zero Trust Data Security allows organizations to protect critical data while consolidating those existing ERPs into a single global instance.

M&A, JVs, Divestitures – Enterprises in the process of mergers, acquisitions, divestitures or joint ventures can keep sensitive data safe while integrating new businesses or splitting off businesses from parent companies. This allows them to comply with M&A, JV, or divestiture agreements while having quicker implementation and lowering the security risk by segregating and partitioning data on existing systems.

Cybersecurity – Cybersecurity threats are always evolving, and organizations must continually adapt their defenses to counter the latest threats. Zero Trust Data Security allows enterprises to reduce cybersecurity risks and implement the best practices as defined in the NIST Cybersecurity Framework (CSF). This helps facilitate data and system consolidation and migration to the cloud.

Trade Secret Protection – There are high costs to enterprises when data breaches result in unauthorized access to trade secrets. Zero Trust Data Security makes sure only the right people have access to the right data and reduces the threat of unauthorized disclosure due to insider or outsider threats.

Automation – Enterprises can have more consistent enforcement of segregation of duties and internal control policies while cutting implementation and maintenance costs by automating business processes and internal controls.

NextLabs’ Zero Trust Data Centric Security

NextLabs’ Zero Trust Data Centric Security solutions implement Zero Trust and Data Centric security principles using dynamic authorization and Attribute-Based Access Control (ABAC), allowing organizations to determine the level of access to be granted based on attributes such as user identity, device type, location, and time of day. This provides organizations with a flexible and granular way of protecting and controlling access to sensitive data.

NextLabs’ solutions are designed to work seamlessly with existing security infrastructure and are compatible with a wide range of platforms and applications, including cloud-based services and legacy systems. This allows organizations to easily integrate NextLabs’ solutions into their existing security infrastructure and take advantage of Zero Trust principles without having to replace their existing systems.

Zero Trust Data Security Principles are incorporated into all NextLabs product lines, including:

CloudAz, a unified policy platform that centralizes administration and utilizes the “never trust, always verify” principle, ensuring data is protected at any access point.

Data Access Enforcer (DAE) helps enterprises protect data access from anywhere, by securing access and protecting critical data stored in databases and data lakes.