CSA - Cloud Security Alliance CCZT Practice Test - Questions Answers, Page 2

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.

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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''

The third step in the SDP onboarding process is to onboard and authenticate the initiating hosts, which are the clients that request access to the protected resources. The initiating hosts connect to and authenticate with the SDP gateway, which acts as an accepting host and a proxy for the protected resources. The SDP gateway verifies the identity and posture of the initiating hosts and grants them access to the resources based on the policies defined by the SDP controller.

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Certificate of Competence in Zero Trust (CCZT) prepkit, page 21, section 3.1.2

6 SDP Deployment Models to Achieve Zero Trust | CSA, section ''Deployment Models Explained''

Software-Defined Perimeter (SDP) and Zero Trust | CSA, page 7, section 3.1

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.

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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 essential components of an organization's ongoing risk analysis are assessment frequency, metrics, and data. Assessment frequency refers to how often the organization conducts risk assessments to monitor and measure the effectiveness of the zero trust architecture and policies. Metrics refer to the quantitative and qualitative indicators that are used to evaluate the security posture, performance, and compliance of the zero trust architecture. Data refers to the information that is collected, analyzed, and reported from various sources, such as telemetry, logs, audits, and feedback, to support risk analysis and decision making.

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Zero Trust Planning - Cloud Security Alliance, section ''Monitor & Measure''

How to improve risk management using Zero Trust architecture | Microsoft Security Blog, section ''Monitoring and reporting''

Zero Trust Adoption: Managing Risk with Cybersecurity Engineering and Adaptive Risk Assessment - SEI Blog, section ''Continuous Monitoring and Improvement''

ZTA models in terms of access decisions are based on the principle of ''never trust, always verify'', which means that each access request is handled just-in-time by the policy decision points. The policy decision points are the components in a ZTA that evaluate the policies and the contextual data collected from various sources, such as the user identity, the device posture, the network location, the resource attributes, and the environmental factors, and then generate an access decision. The access decision is communicated to the policy enforcement points, which enforce the decision on the resource. This way, ZTA models apply a consistent access model throughout the environment for all assets, regardless of their location, type, or ownership.

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

What Is Zero Trust Architecture (ZTA)? - F5, section ''Policy Engine''

Zero trust security model - Wikipedia, section ''What Is Zero Trust Architecture?''

Zero Trust Maturity Model | CISA, section ''Zero trust security model''

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.

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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''

To ensure a successful ZT effort, it is important to engage stakeholders across the organization and at all levels, including functional areas. This helps to align the ZT vision and goals with the business priorities and needs, gain buy-in and support from the leadership and the users, and foster a culture of collaboration and trust. Engaging stakeholders also enables the identification and mapping of the critical assets, workflows, and dependencies, as well as the communication and feedback mechanisms for the ZT transformation.

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Certificate of Competence in Zero Trust (CCZT) prepkit, page 7, section 1.3

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

The 'Zero Trust' Model in Cybersecurity: Towards understanding and ..., section ''3.1 Ensuring buy-in across the organization with tangible impact''

Data and asset classification is a prerequisite action to understand the organization's protect surface clearly because it helps to identify the most critical and sensitive data and assets that need to be protected by Zero Trust principles. Data and asset classification also helps to define the appropriate policies and controls for different levels of data and asset sensitivity.

Reference=Certificate of Competence in Zero Trust (CCZT) - Cloud Security Alliance,Zero Trust Training (ZTT) - Module 2: Data and Asset Classification