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AI+ Security Compliance™ - eLearning (exam included)
AI & Machine Learning
Cyber Security

AI+ Security Compliance™ - eLearning (exam included)

448,00 EUR

  • 40 hours
eLearning

Strengthening Compliance with AI The AI+ Security Compliance certification is an advanced program that explores how Artificial Intelligence (AI) can be integrated into cybersecurity compliance frameworks. Designed for professionals seeking expertise in this area, it builds on the CISSP framework to demonstrate how AI can streamline compliance, improve risk management, and strengthen security in line with evolving regulatory requirements.

Key Features

Language

Course and material in English

Level

Beginner - Intermediate level (Category: AI+ Technical)

1 year platform access

and Virtual Hands-on Lab included

40 hours of video lessons & multimedia

50 hours of study time recommendation

Material

Video, PDF Material, audio eBook, Podcasts, quizzes and assessments.

Exam

Online Proctored Exam with One Free Retake

Certificate

Certification of completion included. Valid for 1 year

Tools You’ll Master

Secureframe, LeewayHertz, Securiti, Scytale

Hero

About the course

The course covers essential cybersecurity compliance principles while showcasing AI’s transformative role in reinforcing security strategies. Participants will learn advanced AI-driven compliance techniques, such as AI-powered risk assessments and automated security controls. Through case studies, hands-on workshops, and real-world scenarios, you will gain both the theoretical knowledge and practical skills to implement AI-enhanced security measures and effectively manage complex compliance demands.

Learning Outcomes

At the end of this course, you will be able to:

AI-Enhanced Compliance Management

Learn to apply AI tools and methods to automate and optimize compliance workflows, ensuring alignment with global cybersecurity standards and regulations

Risk Management with AI

Gain skills in leveraging AI to perform in-depth risk assessments, uncover vulnerabilities, and design proactive risk prevention strategies.

AI-Powered Security Implementation

Obtain practical experience in deploying AI-driven solutions for threat detection, incident response, and safeguarding digital assets.

Insight into Future AI Trends in Cybersecurity

Build awareness of cutting-edge AI advancements, including quantum computing, and understand their impact on cybersecurity to anticipate and address future challenges.

Course timeline

Hero

  1. Introduction to Cybersecurity Compliance and AI

    Lesson 1

    • 1.1 Overview of Cybersecurity Compliance
    • 1.2 International Compliance Standards
    • 1.3 Developing Compliance Programs
    • 1.4 Implementing Compliance Programs
    • 1.5 AI in Cybersecurity Compliance
    • 1.6 Case Studies and Applications

  2. Security and Risk Management with AI

    Lesson 2

    • 2.1 Risk Management Frameworks
    • 2.2 Conducting Risk Assessments
    • 2.3 AI in Risk Assessment
    • 2.4 Compliance and AI
    • 2.5 Incident Response and AI

  3. Asset Security and AI for Compliance

    Lesson 3

    • 3.1 Data Classification and Protection
    • 3.2 AI in Privacy Protection
    • 3.3 Asset Management with AI
    • 3.4 Case Studies and Best Practices

  4. Adversarial AI in Security

    Lesson 4

    • 4.1 Introduction to Adversarial AI Attacks
    • 4.2 Defense Mechanisms Against Adversarial Attacks
    • 4.3 Adversarial Testing and Red Teaming for AI Systems
    • 4.4 Engineering Robust AI Systems Against Adversarial AI

  5. Communication and Network Security with AI

    Lesson 5

    • 5.1 Network Security Fundamentals
    • 5.2 AI in Network Monitoring
    • 5.3 AI-driven Network Defense
    • 5.4 Compliance in Network Security

  6. Identity and Access Management (IAM) with AI

    Lesson 6

    • 6.1 IAM Fundamentals
    • 6.2 AI in Identity Verification
    • 6.3 Access Control and AI
    • 6.4 Threats to IAM and AI Solutions

  7. Security Assessment and Incident Response with AI

    Lesson 7

    • 7.1 Security Testing Techniques
    • 7.2 AI in Security Testing
    • 7.3 Continuous Monitoring and AI
    • 7.4 Incident Response Planning
    • 7.5 Managing Cybersecurity Incidents
    • 7.6 Legal and Regulatory Considerations

  8. Security Operations with AI

    Lesson 8

    • 8.1 Security Operations Center (SOC)
    • 8.2 Data Classification and Protection
    • 8.3 Privacy Compliance
    • 8.4 Disaster Recovery and AI
    • 8.5 AI in Security Orchestration

  9. Software Development Security and Audit with AI

    Lesson 9

    • 9.1 Secure Software Development Life Cycle (SDLC)
    • 9.2 AI in Application Security Testing
    • 9.3 AI in Secure DevOps
    • 9.4 Threat Modeling and AI
    • 9.5 Internal and External Audits
    • 9.6 Continuous Monitoring

  10. Future Trends in AI and Cybersecurity Compliance

    Lesson 10

    • 10.1 Emerging AI Technologies
    • 10.2 AI in Cyber Threat Intelligence
    • 10.3 Quantum Computing and AI
    • 10.4 Ethical Considerations and AI Governance
    • 10.5 Practical Applications

  11. AI Agents for Security Compliance

    Optional Module

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

Industry Growth

Market Demand for AI Security Compliance Specialists

  • The expansion of AI technologies is driving a surge in demand for experts who can manage cybersecurity risks and ensure regulatory compliance.
  • Studies reveal that 80% of organizations are set to invest in AI compliance initiatives, emphasizing the importance of security governance.
  • Critical focus areas include AI risk management, data protection laws, cybersecurity standards, and ethical AI practices.
  • The shortage of skilled AI compliance professionals compared to rising industry needs makes this a highly sought-after career field.
AI security

Who Should Enroll in this Program?

Cybersecurity Specialists: Professionals aiming to advance their expertise in security management and compliance.

Risk Management Experts: Individuals seeking to enhance risk assessment and mitigation through AI-driven strategies.

Compliance Managers: Those overseeing regulatory adherence who want to incorporate AI into compliance workflows.

IT Security Analysts: Practitioners looking to adopt AI tools and techniques within security operations and frameworks.

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More Details

Prerequisites

  • Fundamental knowledge of cybersecurity concepts.
  • Understanding of basic networking principles.
  • Awareness of programming fundamentals (Python preferred).
  • Prior exposure to AI or machine learning is helpful but optional.
  • No compulsory prerequisites — certification is awarded based solely on exam performance.

Exam Details

  • Duration: 90 minutes
  • Passing :70% (35/50)
  • Format: 50 multiple-choice/multiple-response questions
  • Delivery Method: Online via proctored exam platform (flexible scheduling)
  • Language: English

Licensing and accreditation

This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.

Equity Policy

AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.


Frequently Asked Questions

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