AI+ Security Compliance™
AT-230
Empowering Compliance Through AIThe 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.
Why This Certification Matters
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.
At a Glance: Course + Exam Overview
- Instructor-Led: 5 Days (live or virtual)
- Self-Paced: 40 hours of content
Job Roles & Industry Outlook
Cyber Security Analyst
Protect digital assets by identifying vulnerabilities, monitoring threats, and applying AI to strengthen security defenses.
Business Analyst
Analyze business processes and ensure AI initiatives comply with legal, ethical, and regulatory standards.
Business Intelligence Analyst
Transform data into actionable insights by applying AI-driven analytics to guide smarter business decisions.
Industry Growth: AI+ Security Compliance™
- Comprehensive Cybersecurity Knowledge: Gain a deep understanding of cybersecurity compliance, building on the CISSP framework, to safeguard organizations.
- Regulatory Compliance Integration: Understand how to align AI-driven security measures with evolving regulatory standards, ensuring legal compliance.
- In-Demand Expertise: Equip yourself with cutting-edge AI and cybersecurity compliance skills, positioning you as a leader in the industry.
- AI-Powered Risk Management: Learn how AI can enhance risk management practices, offering smarter solutions to mitigate security threats.
- Advanced Security Posture: Develop the skills to enhance your organization's security posture by applying AI technologies to strengthen defense mechanisms.
Who Should Enroll?
- Cybersecurity Professionals: Individuals looking to enhance their skills in compliance and security management.
- Risk Management Specialists: Those interested in improving risk assessment and mitigation strategies using AI.
- Compliance Officers: Professionals responsible for ensuring adherence to regulatory standards who want to leverage AI for compliance processes.
- Al Security Operations Manager: Manages security operations using Al technologies, overseeing incident response, and continuous monitoring for potential threats.
- Al Cybersecurity Engineer: Designs and implements Al-powered security solutions, including automated threat detection, and data protection mechanisms.
What You'll Learn
- 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
- 2.1 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
- 3.1 Data Classification and Protection
- 3.2 AI in Privacy Protection
- 3.3 Asset Management with AI
- 3.4 Case Studies and Best Practices
- 4.1 Secure Design Principles
- 4.2 AI in Cryptography
- 4.3 AI in Vulnerability Assessment
- 4.4 Security Models and AI
- 5.1 Network Security Fundamentals
- 5.2 AI in Network Monitoring
- 5.3 AI-driven Network Defense
- 5.4 Compliance in Network Security
- 6.1 IAM Fundamentals
- 6.2 AI in Identity Verification
- 6.3 Access Control and AI
- 6.4 Threats to IAM and AI Solutions
- 7.1 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
- 8.1 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
- 9.1 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
- 10.1 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
- 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 You'll Explore
Secureframe
LeewayHertz
Securiti
Scytale
Prerequisites
- Understanding of cybersecurity principles, networking fundamentals, Familiarity with Python, Introductory course on AI or ML is beneficial
Exam Details
Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via AI proctored exam platform (flexible scheduling)
Exam Blueprint
- Module 1: Introduction to Cybersecurity Compliance and AI - 9%
- Module 2: Security and Risk Management with AI - 9%
- Module 3: Asset Security and AI for Compliance - 9%
- Module 4: Security Architecture and Engineering with AI - 9%
- Module 5: Communication and Network Security with AI - 9%
- Module 6: Identity and Access Management (IAM) with AI - 9%
- Module 7: Security Assessment and Incident Response with AI - 9%
- Module 8: Security Operations with AI - 9%
- Module 9: Software Development Security and Audit with AI - 9%
- Module 10: Future Trends in AI and Cybersecurity Compliance - 9%
- Optional Module: AI Agents for Security Compliance - 10%
Choose the Format That Fits Your Schedule
What's Included (One-Year Subscription + All Updates):
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
- Access for Tablet & Phone
Frequently Asked Questions
The course includes a mix of theoretical knowledge and practical applications, culminating in an interactive capstone project. This structure ensures that participants gain both conceptual understanding and hands-on experience.
This course is ideal for developers, IT professionals, and anyone with a foundational understanding of AI and cloud computing who wants to enhance their skills in integrating AI with cloud platforms like AWS, Azure, or Google Cloud.
Participants will learn to develop, deploy, and manage AI models on leading cloud platforms. Skills include optimizing AI model performance, ensuring security, meeting compliance standards, and applying AI and cloud concepts to solve real-world problems.
This certification enhances your professional profile by demonstrating proficiency in integrating AI with cloud computing. It equips you with in-demand skills, giving you a competitive edge in the job market and opening doors to lucrative career opportunities.
The certification includes an interactive capstone project where participants apply their knowledge to design and implement AI solutions within cloud environments. This project is designed to simulate real-world scenarios and challenges.