AI+ Security Compliance™
# AT-230
Empowering Compliance Through AI
- 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.
- Certification Duration: 40 hours (5 Days)
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 Policies & Integrity
- Before your exam, you must accept the AI CERTs™ Candidate Agreement. It ensures fairness, transparency, and unbiased certification for all candidates.
- Please review it in advance to understand our exam standards and your responsibilities.
Available Dates
Exam Details
Modules
10
Examination
1
50 MCQs
90 Minutes
Passing Score
70% (35/50)
Recertification Requirements
- AI CERTs requires recertification every year to keep your certification valid. Notifications will be sent three months before the due date, and candidates must follow the steps in the candidate handbook to complete the process.
- Need Help? If you have any questions or need assistance with recertification, please reach out to our support team at support@aicerts.ai
Certification Modules
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: Security Architecture and Engineering with AI
- 4.1 Secure Design Principles
- 4.2 AI in Cryptography
- 4.3 AI in Vulnerability Assessment
- 4.4 Security Models and 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
Tools
Secureframe
LeewayHertz
Securiti
Scytale
Exam Objectives
- 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.
Career Opportunities Post-Certification
- Median Salaries : $1,30,000
- With AI Skills : $1,30,000
- % Difference : 23
AI Security Compliance Career Advancement – Secure Your Future
- Market Demand for AI Security Compliance Experts
- The rapid rise of AI technologies has created a growing need for compliance professionals who can navigate cybersecurity risks and regulatory landscapes.
- Research shows that organisations are prioritising AI security governance, with 80% of enterprises planning to invest in AI compliance strategies.
- Key domains include AI Risk Management, Data Privacy Laws, Cybersecurity Frameworks, and Ethical AI Regulations.
- The demand for AI compliance specialists is outpacing the supply, making it an in-demand career path.
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Frequently Asked Questions
What is the AI+ Security Compliance™ course about?
- This course focuses on how to ensure that AI systems comply with security standards and regulations across industries.
Who should enroll in this course?
- Ideal for security professionals, compliance officers, and AI developers working on security-critical AI projects.
What will I learn in this course?
- The course covers compliance frameworks, regulatory requirements for AI systems, and secure AI deployment strategies.
What are the key compliance standards taught in the course?
- You will learn about GDPR, HIPAA, and NIST compliance for AI systems, among others.
How is the AI+ Security Compliance™ certification valued in the industry?
- 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.
