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    • 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.

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    AI+ Security Compliance™
    Price: USD $450.00

    At a Glance: Course + Exam Overview

    Category AI Security
    AI Technical
    Program Name AI+ Security Compliance™
    Duration
    • Instructor-Led: 5 Days
    • Self-Paced: 40 hours of content
    Prerequisites
      • Basic understanding of cybersecurity principles.
      • Knowledge of networking fundamentals.
      • Familiarity with programming concepts and languages (Python recommended)
      • An introductory course on AI or machine learning is beneficial but not required.
      • There are no mandatory prerequisites for certification. Certification is based solely on performance in the examination. However, candidates may choose to prepare through self-study or optional training offered by AI CERTS Authorized Training Partners (ATPs).
    Exam Format 50 questions, 70% passing, 90 Minutes

    What You'll Learn

    • AI-Enhanced Compliance Management
      Students will be able to integrate AI tools and techniques to streamline and automate compliance processes, ensuring adherence to international cybersecurity standards and regulations.
    • Risk Management with AI
      Students will develop the ability to use AI for conducting comprehensive risk assessments, identifying potential vulnerabilities, and implementing proactive risk mitigation strategies.
    • AI-Driven Security Solutions
      Students will gain hands-on experience with AI applications in security, learning how to implement AI-powered tools for incident response, threat detection, and asset security.
    • Understanding of Future AI Trends in Cybersecurity
      Students will be equipped with knowledge of emerging AI technologies, such as quantum computing, and their implications for cybersecurity, allowing them to stay ahead of evolving threats and innovations.

    Certification Modules

    Module 1: Introduction to Cybersecurity Compliance and AI

    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

    Module 2: Security and Risk Management with AI

    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

    Module 3: Asset Security and AI for Compliance

    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

    Module 4: Security Architecture and Engineering with AI

    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

    Module 5: Communication and Network Security with 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

    Module 6: Identity and Access Management (IAM) with AI

    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

    Module 7: Security Assessment and Incident Response with AI

    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

    Module 8: Security Operations with AI

    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

    Module 9: Software Development Security and Audit with AI

    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

    Module 10: Future Trends in AI and Cybersecurity Compliance

    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

    Optional Module: AI Agents for Security Compliance

    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

    Finish the course and get certified

    Certificate 1

    Industry Opportunities

    • AI Compliance Specialist
      AI Compliance Specialist
      Focuses on implementing AI-driven tools to ensure organizational compliance with cybersecurity regulations and standards.
    • Cybersecurity Risk Analyst (AI)
      Cybersecurity Risk Analyst (AI)
      Uses AI-based solutions to assess and mitigate cybersecurity risks, ensuring proactive threat detection and management.
    • AI Security Operations Manager
      AI Security Operations Manager
      Manages security operations using AI technologies, overseeing incident response, network security, and continuous monitoring for potential threats.
    • AI Cybersecurity Engineer
      AI Cybersecurity Engineer
      Designs and implements AI-powered security solutions, including automated threat detection, response systems, and data protection mechanisms.

    Frequently Asked Questions

    This course focuses on how to ensure that AI systems comply with security standards and regulations across industries.

    Ideal for security professionals, compliance officers, and AI developers working on security-critical AI projects.

    The course covers compliance frameworks, regulatory requirements for AI systems, and secure AI deployment strategies.

    You will learn about GDPR, HIPAA, and NIST compliance for AI systems, among others.

    This certification demonstrates that you can ensure AI systems comply with industry and regulatory security standards, enhancing your career in both AI and cybersecurity sectors.

    Prerequisites

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    Exam Details

    Duration

    90 Minutes

    Passing Score

    70%

    Format

    50 multiple-choice/multiple-response questions

    Exam Blueprint

    Introduction to Cybersecurity Compliance and AI 10%
    Security and Risk Management with AI 10%
    Asset Security and AI for Compliance 10%
    Security Architecture and Engineering with AI 10%
    Communication and Network Security with AI 10%
    Identity and Access Management (IAM) with AI 10%
    Security Assessment and Incident Response with AI 10%
    Security Operations with AI 10%
    Software Development Security and Audit with AI 10%
    Future Trends in AI and Cybersecurity Compliance 10%
    Course Price: USD $450.00
    Self-Paced Online
    Purchase Self-Paced Course
    Instructor-Led (Live Virtual/Classroom)