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)

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Prerequisites
Exam Details
Modules
Tools
Skills
Opportunities
FAQs

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.

Modules

10

Examination

1

50 MCQs

90 Minutes

Passing Score

70%

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

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

$1,60,000

% Difference

AI Compliance Specialist

Focuses on implementing AI-driven tools to ensure organizational compliance with cybersecurity regulations and standards.

Cybersecurity Risk Analyst (AI)

Uses AI-based solutions to assess and mitigate cybersecurity risks, ensuring proactive threat detection and management.

AI Security Operations Manager

Manages security operations using AI technologies, overseeing incident response, network security, and continuous monitoring for potential threats.

AI Cybersecurity Engineer

Designs and implements AI-powered security solutions, including automated threat detection, response systems, and data protection mechanisms.

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.

AI+ Security Compliance™