x

AI+ Security Compliance™

AI+ Security Compliance™

The AI+ Security Compliance™ is an advanced course that merges the fundamental principles of cybersecurity compliance with the transformative power of artificial intelligence (AI). Building on the CISSP framework, this course focuses on how AI can enhance compliance processes, improve risk management, and ensure robust security measures in alignment with regulatory standards. This course introduces you to the core principles of cyber security compliances, while exploring the potential of AI to enhance your security posture. This course structure integrates comprehensive cybersecurity compliance principles with advanced AI applications, providing learners with the necessary skills to ensure compliance and enhance
security through AI technologies.

AVALIABLE AT COMPUNET LIMITED Enroll Now Enroll Now

Certificate Code

AT-230

Exam Format

AI-Driven Remote Exam Proctoring

Course Overview

Important details and certification information

Instructor-led OR Self-paced course + Official exam + Digital badge
Instructor-Led: 3 Days (live or virtual)
Understanding of cybersecurity principles, networking fundamentals, Familiarity with Python, Introductory course on AI or ML is beneficial
50 questions, 70% passing, 90 minutes, online proctored exam

Certification Modules

  1. 1.1 Overview of Cybersecurity Compliance
  2. 1.2 International Compliance Standards
  3. 1.3 Developing Compliance Programs
  4. 1.4 Implementing Compliance Programs
  5. 1.5 AI in Cybersecurity Compliance
  6. 1.6 Case Studies and Applications

  1. 2.1 Risk Management Frameworks
  2. 2.2 Conducting Risk Assessments
  3. 2.3 AI in Risk Assessment
  4. 2.4 Compliance and AI
  5. 2.5 Incident Response and AI

  1. 3.1 Data Classification and Protection
  2. 3.2 AI in Privacy Protection
  3. 3.3 Asset Management with AI
  4. 3.4 Case Studies and Best Practices

  1. 4.1 Secure Design Principles
  2. 4.2 AI in Cryptography
  3. 4.3 AI in Vulnerability Assessment
  4. 4.4 Security Models and AI

  1. 5.1 Network Security Fundamentals
  2. 5.2 AI in Network Monitoring
  3. 5.3 AI-driven Network Defense
  4. 5.4 Compliance in Network Security

  1. 6.1 IAM Fundamentals
  2. 6.2 AI in Identity Verification
  3. 6.3 Access Control and AI
  4. 6.4 Threats to IAM and AI Solutions

  1. 7.1 Security Testing Techniques
  2. 7.2 AI in Security Testing
  3. 7.3 Continuous Monitoring and AI
  4. 7.4 Incident Response Planning
  5. 7.5 Managing Cybersecurity Incidents
  6. 7.6 Legal and Regulatory Considerations

  1. 8.1 Security Operations Center (SOC)
  2. 8.2 Data Classification and Protection
  3. 8.3 Privacy Compliance
  4. 8.4 Disaster Recovery and AI
  5. 8.5 AI in Security Orchestration

  1. 9.1 Secure Software Development Life Cycle (SDLC)
  2. 9.2 AI in Application Security Testing
  3. 9.3 AI in Secure DevOps
  4. 9.4 Threat Modeling and AI
  5. 9.5 Internal and External Audits
  6. 9.6 Continuous Monitoring

  1. 10.1 Emerging AI Technologies
  2. 10.2 AI in Cyber Threat Intelligence
  3. 10.3 Quantum Computing and AI
  4. 10.4 Ethical Considerations and AI Governance
  5. 10.5 Practical Applications

  1. 1. What Are AI Agents
  2. 2. Key Capabilities of AI Agents in Cyber Security Compliance
  3. 3. Applications and Trends for AI Agents in Security Compliance
  4. 4. How Does an AI Agent Work
  5. 5. Core Characteristics of AI Agents
  6. 6. Types of AI Agents

AI Tools Covered

Secureframe
LeewayHertz
Securiti
Scytale
Enroll Now Enroll Now