CCZT With AI (Certificate Of Competence In Zero Trust)

CCZT with AI (Certificate of Competence in Zero Trust)

Uncategorized

About Course

The CCZT with AI (Certificate of Competence in Zero Trust) is a professional certification designed to validate knowledge and practical skills in implementing Zero Trust security frameworks enhanced with artificial intelligence. It focuses on modern cybersecurity principles such as continuous verification, least privilege access, adaptive trust scoring, and AI-driven threat detection. Candidates learn how to integrate automation, identity governance, network segmentation, and predictive analytics into Zero Trust architectures. The certification is ideal for cybersecurity professionals, security architects, and IT leaders seeking to secure digital environments against evolving threats using proactive, intelligent, and policy-based access controls grounded in the Zero Trust philosophy.

Course Content

One On One Training

MODULE 1: Zero Trust Fundamentals

MODULE 2: Zero Trust Architecture (ZTA)

MODULE 3: Identity & Access Security

MODULE 4: Zero Trust Network Access (ZTNA)

MODULE 5: Zero Trust for Applications, Workloads & APIs

MODULE 6: Zero Trust Data Security

MODULE 7: Zero Trust Cloud Security

MODULE 8: Endpoint & Device Security

MODULE 9: Monitoring, Analytics & Threat Response

MODULE 10: Governance, Risk & Compliance (GRC)

MODULE 11: Zero Trust Implementation Framework

About Course

What Will You Learn?

Course Content

One On One Training

MODULE 1: Zero Trust Fundamentals

1.1 – Introduction to Zero Trust

1.2 – Zero Trust Core Principles

1.3 – Zero Trust Strategic Drivers

1.4 – AI in Zero Trust Basics

MODULE 2: Zero Trust Architecture (ZTA)

2.1 – NIST Zero Trust Architecture

2.2 – Core Building Blocks of ZTA

2.3 – Trust Algorithms

2.4 – AI in ZTA

MODULE 3: Identity & Access Security

3.1 – Identity as the New Perimeter

3.2 – Authentication Models

3.3 – Access Control Models

3.4 – AI in Identity Security

MODULE 4: Zero Trust Network Access (ZTNA)

4.1 – ZTNA Fundamentals

4.2 – Micro-Segmentation

4.3 – Network Policy Enforcement

4.4 – AI in Network Security

MODULE 5: Zero Trust for Applications, Workloads & APIs

5.1 – Application-Level Zero Trust

5.2 – Workload Protection

5.3 – API Security

5.4 – AI for Workload & API Protection

MODULE 6: Zero Trust Data Security

6.1 – Data Classification & Discovery

6.2 – Encryption Techniques

6.3 – Data Access Policies

6.4 – AI for Data Protection

MODULE 7: Zero Trust Cloud Security

7.1 – Cloud Zero Trust Basics

7.2 – Cloud Identity & Access

7.3 – Securing Workloads in Cloud

7.4 – AI in Cloud Zero Trust

MODULE 8: Endpoint & Device Security

8.1 – Endpoint Security Core

8.2 – Device Posture Assessment

8.3 – IoT and OT Zero Trust

8.4 – AI for Endpoint Security

MODULE 9: Monitoring, Analytics & Threat Response

9.1 – Zero Trust Monitoring Framework

9.2 – Telemetry & Audit Logs

9.3 – Zero Trust Incident Response

9.4 – AI-Driven Threat Response

MODULE 10: Governance, Risk & Compliance (GRC)

10.1 – Zero Trust Governance Models

10.2 – Risk Assessment

10.3 – Compliance Framework Mapping

10.4 – AI in GRC

MODULE 11: Zero Trust Implementation Framework

11.1 – Zero Trust Roadmap

11.2 – Technology Selection

11.3 – Implementation Patterns

11.4 – AI for Zero Trust Deployment