AI Security in Security Principles

ISC2 Certified in Cybersecurity CC

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1 Introduction & Exam Overview

Official 2026 CC Exam Facts and Timeline CAT Format and Beginner Security Judgment Domain Map and Time Allocation 30, 60, and 90 Day Study Plan with Readiness Thresholds

2 Domain 1: Security Principles (24%)

CIA Triad as a Practical Decision Tool Authentication, Authorization, Accounting, and Non-Repudiation Privacy in the CC Outline Beginner Security Decision Scenarios AI Security in Security Principles

3 Domain 1: Risk Management and Security Controls

Risk Identification in Business Context Risk Management Processes Risk Treatment Decisions Security Controls: Technical, Administrative, and Physical

4 Domain 1: Governance, Ethics, Policy, and Privacy

Governance and the ISC2 Code of Ethics Policies, Procedures, Standards, Laws, and Regulations Privacy and AI Governance Due Care, Due Diligence, and Governance Decisions

5 Domain 1: Physical Security Controls

Physical Controls and Their Monitoring Tailgating and Physical Penetration Testing

6 Domain 2: Security Governance - Business Continuity

Business Continuity (BC)

7 Domain 2: Security Governance - Disaster Recovery

Disaster Recovery (DR) Redundancy in Business Continuity and Disaster Recovery

8 Domain 2: GRC Planning

GRC Planning: Purpose, Importance, and Tools

9 Domain 2: Measuring Cybersecurity Effectiveness

Security Metrics, KRIs, and Dashboards AI Security in Governance, Awareness, and Continuity

10 Domain 2 and Domain 5: Security Awareness and Triage

Security Awareness and Organizational Culture Phishing and Password Protection Security Event Triage and Human Review

11 Domain 3: Identity Lifecycle Management

Identification, Authentication, Authorization, and Accountability Multi-Factor Authentication and Password Protection Provisioning, Deprovisioning, and Access Reviews Service Accounts and AI Bots in Identity Management AI Bots and Service Accounts in Identity Management

12 Domain 3: Logical Access Controls

Least Privilege and Separation of Duties DAC, MAC, RBAC, and ABAC

13 Domain 4: Networking Fundamentals

Network Models and IP Addressing Firewalls: Ports and Applications Virtual Private Networks (VPN) Wireless Networks and Embedded Systems

14 Domain 4: Network Security Architecture and Cloud Security

Network Segmentation Defense in Depth and Zero Trust Cloud Characteristics and Shared Security Model Cloud Service Models, Deployment Models, and Shared Security AI in Network Security and Cloud Hosting

15 Domain 5: Incident Response

Incident Response (IR) and the Incident Response Plan Preparing the Incident Response Plan Incident Response Exercises and Tabletops AI in Security Operations and Incident Response

16 Domain 5: Security Monitoring

Logging and Monitoring Security Events

17 Domain 5: Threat Actors and Threat Intelligence

Threat Actors, Threat Intelligence, and Frameworks

18 Domain 5: Data Security

Encryption and Hashing for Data Security Data Handling: Classification, Labeling, Masking, and Sanitization Security of the AI Workspace

19 Domain 5: Asset Protection

Configuration and Change Management Change Management and Asset Protection Asset Lifecycle and End-of-Life Management

20 Domain 5: Data Handling Policy

Data Handling Policy and Classification

21 Domain 5: Security Testing

Security Readiness, Application, and Physical Testing

22 Integrated CC Scenario Labs

Risk and Control Selection Drill Continuity, Recovery, and Response Drill Access Control Design Drill Segmentation and Triage Drill

23 Final 14-Day Review and Exam Readiness

CAT Pacing and 100-125 Item Strategy Missed-Question Notebook and Domain Repair Exam Day Logistics and Rescheduling After Passing: AMF and CPE

AI Security in Security Principles

Key Takeaways Explain This Topic AI

The CC outline page integrates AI into the CIA triad, AAA, and non-repudiation within Domain 1.

Data integrity matters for preventing model poisoning.

Privacy must be protected when handling AI training data.

AI tools use technical, administrative, and physical controls and follow the same policies and legal requirements as other software.

Source: ISC2 CC Exam Outline page, AI guidance, Domain 1 paragraph, checked 2026-10-22.

Last updated: October 2026

What the Outline Adds for AI in Domain 1

The CC outline page explains how AI affects the core principles in Domain 1:

Integrity: data integrity is vital for preventing model poisoning.

Privacy: privacy must be protected when handling AI training data.

AAA and non-repudiation: AI-generated actions and access should remain traceable and secure.

Governance: AI tools need a blend of technical, administrative, and physical controls and are subject to the same organizational policies and legal requirements as traditional software.

Ethics and due care: support leadership in exercising due care and due diligence when adopting AI, consistent with the ISC2 Code of Ethics, the organization's risk appetite, and its expectations for transparency and non-bias.

Source: ISC2 Certified in Cybersecurity outline page, AI guidance, Domain 1 paragraph, https://www.isc2.org/certifications/cc/cc-certification-exam-outline , checked 2026-10-22.

Applying the Points

When an AI scenario appears, map it in order: first to the CIA triad (which goal is at risk?), then to AAA and non-repudiation (can the action be traced to a responsible party?), then to controls and policy (which control type and which policy apply?). This is the same reasoning used for any Domain 1 item, applied to an AI system.