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One of the key purposes of leveraging visibility & analytics capabilities in a ZTA is to continually evaluate user behavior against a baseline to identify unusual actions. This helps to detect and respond to potential threats, anomalies, and deviations from the normal patterns of user activity. Visibility & analytics capabilities also enable the collection and analysis of telemetry data across all the core pillars of ZTA, such as user, device, network, application, and data, and provide insights for policy enforcement and improvement.

References =

Certificate of Competence in Zero Trust (CCZT) prepkit, page 15, section 2.2.3

Zero Trust for Government Networks: 4 Steps You Need to Know, section “Continuously verify trust with visibility & analytics”

The role of visibility and analytics in zero trust architectures, section “The basic NIST tenets of this approach include”

What is Zero Trust Architecture (ZTA)? | NextLabs, section “With real-time access control, users are reliably verified and authenticated before each session”

SDP mitigates the risk of broken access control by mandating micro-segmentation and implementing least privilege. Micro-segmentation divides the network into smaller, isolated segments that can prevent unauthorized access and contain lateral movement. Least privilege grants the minimum necessary access to users and devices for specific resources, while hiding all other assets from their view. This reduces the attack surface and prevents attackers from exploiting weak or misconfigured access controls

In a ZTA, the logical combination of both the policy engine (PE) and policy administrator (PA) is called the policy decision point (PDP). The PE is the component that evaluates the policies and the contextual data collected from various sources and generates an access decision. The PA is the component that establishes or terminates the communication between a subject and a resource based on the access decision. The PDP communicates with the policy enforcement point (PEP), which enforces the access decision on the resource.

References =

Certificate of Competence in Zero Trust (CCZT) prepkit, page 14, section 2.2.2

Zero Trust Architecture Project - NIST Computer Security Resource Center, slide 9

What Is a Zero Trust Security Framework? | Votiro, section “The Policy Engine and Policy Administrator”

Zero Trust Frameworks Architecture Guide - Cisco, page 4, section “Policy Decision Point”

A common activity in the scope, priority, and business case steps of ZT planning is to determine the organization’s current state. This involves assessing the existing security posture, architecture, policies, processes, and capabilities of the organization, as well as identifying the key stakeholders, business drivers, and goals for the ZT initiative. Determining the current state helps to establish a baseline, identify gaps and risks, and define the scope and priority of the ZT transformation.

References =

Zero Trust Planning - Cloud Security Alliance, section “Scope, Priority, & Business Case”

The Zero Trust Journey: 4 Phases of Implementation - SEI Blog, section “First Phase: Prepare”

The ZT tenet of assume breach is based on the notion that malicious actors reside inside and outside the network, and that any user, device, or service can be compromised at any time. Therefore, ZT requires continuous verification and validation of all entities and transactions, and does not rely on implicit trust or perimeter-based defenses

ZTA is based on the principle of never trusting any user or device by default, regardless of their location or ownership. ZTA policies can use various methods to verify the identity and context of third-party users and devices, such as tokens, certificates, multifactor authentication, device posture assessment, etc. ZTA policies can also enforce granular and dynamic access policies that grant the minimum necessary privileges to third-party users and devices for accessing specific resources, while hiding all other assets from their view. This reduces the attack surface and prevents unauthorized access and lateral movement within the network.

In a Zero Trust Architecture, the Policy Decision Point (PDP) is the primary entity responsible for crafting and maintaining policies, especially those that enforce the principle of least privilege for network access. The PDP evaluates all relevant information about an access request—including the identity of the requester, the context of the request, and the requested resource—and makes a decision on whether to grant or deny access based on predefined policies. This process ensures that access rights are strictly aligned with the necessity of the role and the minimum access required to perform a function, thereby adhering to the principle of least privilege​​.

In a continual improvement model, policy administrators are the ones who maintain the ZT policies. Policy administrators are ZTA policy entities that are responsible for crafting and maintaining the policies that govern the access to resources in a ZT environment1. Policy administrators define the rules and conditions that specify who, what, when, where, and how an entity can access a resource, based on the principle of least privilege2. Policy administrators also update and review the policies periodically to ensure they are aligned with the changing business and security requirements3.

References =

Zero Trust Architecture | NIST

Zero Trust Architecture: Policy Engine and Policy Administrator

Zero Trust Architecture: Policy Administration