AI+ Security Compliance™ - eLearning (exam included)

AI+ Security Compliance™ - eLearning (exam included)

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.

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.

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.

Key Features

• Course and material in English 
• Beginner - Intermediate level  (Category: AI+ Technical)
• 1 year access to the platform 24/7
• 40 hours of video lessons & multimedia resources

• 50 hours of study time recommendation 
• Quizzes, Assessments, and Course Resources
• Online Proctored Exam with One Free Retake

• Certification of completion included valid for 1 year

• Virtual Hands-on Lab included
• Tools You’ll Master:  Secureframe, LeewayHertz, Securiti, Scytale

Learning Outcomes

• 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.

Target Audience

• 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.

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

Course Content

Module 1: Introduction to Cybersecurity Compliance and AI

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

Module 2: Security and Risk Management with AI

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

Module 3: Asset Security and AI for Compliance

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

Module 4: Adversarial AI in Security

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

Module 5: Communication and Network Security with AI

5.1 Network Security Fundamentals

5.2 AI in Network Monitoring

5.3 AI-driven Network Defense

5.4 Compliance in Network Security

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

6.1 IAM Fundamentals

6.2 AI in Identity Verification

6.3 Access Control and AI

6.4 Threats to IAM and AI Solutions

Module 7: Security Assessment and Incident Response with AI

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

Module 8: Security Operations with AI

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

Module 9: Software Development Security and Audit with AI

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

Module 10: Future Trends in AI and Cybersecurity Compliance

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

Optional Module: AI Agents for Security Compliance

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

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.

FAQ

What is the AI+ Security Compliance™ course about?
This program teaches how to align AI systems with established security standards and regulatory requirements across different industries.

Who should take this course?
Best suited for security specialists, compliance managers, and AI developers engaged in projects where security is a critical factor.

What will I gain from this course?
You’ll learn about compliance frameworks, regulatory obligations for AI solutions, and strategies for deploying AI securely.

Which compliance standards are included?
Key topics include GDPR, HIPAA, NIST, and other relevant compliance standards for AI systems.

How is the AI+ Security Compliance™ certification recognized?
Earning this certification validates your capability to ensure AI systems meet regulatory and industry security requirements, boosting your credentials in both AI and cybersecurity.

Recertification Requirements
AI+ Technical courses require recertification every year to keep your certification valid. Notifications will be sent three months before the due date

How Can AVC Help Foster an AI-Ready Culture?
While AI offers significant advantages, many organizations struggle with challenges like talent gaps, complex data environments, and system integration barriers. At AVC, we understand these obstacles and have tailored our certification programs to help businesses overcome them effectively.

Our strategic approach focuses on building a culture that embraces AI adoption and innovation. Through our industry-recognized certifications and in-depth training, we equip your workforce with the skills and knowledge needed to lead your organization confidently into an AI-powered future.

Customized for Impact: Our programs aren't one-size-fits-all. We offer specialized training designed by industry experts to equip your workforce with the specific skills and knowledge needed for critical AI roles.

Practical, Real-World Learning: We prioritize hands-on experience over theory, using real-world projects and case studies. This approach ensures your team gains the confidence and capability to implement AI solutions effectively, driving innovation and measurable business outcomes.