AI+ Security Compliance Practitioner™
AT-230
Formerly known as AI+ Security Compliance™ <br> <br> Empowering Compliance Through AIThe AI+ Security Compliance Practitioner™ is an advanced certification that merges the fundamental principles of cybersecurity compliance with the transformative power of artificial intelligence (AI). Building on the CISSP framework, this certification focuses on how AI can enhance compliance processes, improve risk management, and ensure robust security measures in alignment with regulatory standards. This certification validates knowledge of core principles of cyber security compliance, and assesses understanding of how AI can enhance security posture. This certification structure integrates comprehensive cybersecurity compliance principles with advanced AI applications, validating candidate competency in ensuring compliance and enhancing security through AI technologies.
Why This Certification Matters
The AI+ Security Compliance Practitioner™ is an advanced certification that merges the fundamental principles of cybersecurity compliance with the transformative power of artificial intelligence (AI). Building on the CISSP framework, this certification focuses on how AI can enhance compliance processes, improve risk management, and ensure robust security measures in alignment with regulatory standards. This certification validates knowledge of core principles of cyber security compliance, and assesses understanding of how AI can enhance security posture. This certification structure integrates comprehensive cybersecurity compliance principles with advanced AI applications, validating candidate competency in ensuring compliance and enhancing 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.
Security Compliance Analyst
Ethical Hacker / Penetration Testers
Business Analyst
Analyze business processes and ensure AI initiatives comply with legal, ethical, and regulatory standards.
Business Analyst
Data Analyst / Engineer
Industry Growth: AI+ Security Compliance Practitioner™
- Comprehensive Cybersecurity Knowledge Validates comprehensive knowledge of cybersecurity compliance, aligned with the CISSP framework, to demonstrate competency in safeguarding organizations.
- AI-Powered Risk Management Validates capability in AI can enhance risk management practices, offering smarter solutions to mitigate security threats.
- Regulatory Compliance Integration Understand how to align AI-driven security measures with evolving regulatory standards, ensuring legal compliance.
- Advanced Security Posture Demonstrates competency in enhancing your organization's security posture by applying AI technologies to strengthen defense mechanisms.
- In-Demand Expertise Validates your competency with cutting-edge AI and cybersecurity compliance knowledge, positioning you as a leader in the industry.
Who Should Enroll?
- Cybersecurity Professionals: Enhance skills in compliance, security management, and AI-driven security practices.
- Risk Management Specialists: Learn AI-based approaches for risk assessment and mitigation.
- Compliance Officers: Apply AI to improve regulatory compliance processes and security governance.
- IT Security Analysts: Integrate AI technologies into security frameworks and operations.
What You'll Learn
- 1.1 Fundamentals of Security Compliance
- 1.2 Fundamentals of AI for Compliance Professionals
- 1.3 Applications of AI Across the Compliance Lifecycle
- 1.4 Case Study: Manual Compliance Process Causing Audit Delays
- 1.5 Use Case: AI Compliance Assistant for a Growing Organization
- 2.1 Understanding Security Frameworks and Standards
- 2.2 AI-Assisted Requirement Interpretation
- 2.3 AI-Enabled Control Mapping
- 2.4 Case Study: Multiple Framework Compliance at a Technology Company
- 2.5 Use Case: AI-Based Cross-Framework Control Mapping
- 3.1 Security Risk Assessment Fundamentals
- 3.2 Using AI for Security Risk Identification
- 3.3 AI-Driven Compliance Gap Assessment
- 3.4 Case Study: Compliance Gaps Following a Security Assessment
- 3.5 Use Case: AI-Assisted Security Risk Register
- 4.1 Security Governance Documentation
- 4.2 Using AI to Create and Improve Security Policies
- 4.3 AI for Policy Compliance Monitoring
- 4.4 Case Study: Outdated Information Security Policies
- 4.5 Use Case: AI Policy Review Assistant
- 5.1 Security Control Implementation
- 5.2 AI-Assisted Control Design and Documentation
- 5.3 AI-Enabled Evidence Management
- 5.4 Case Study: Incomplete Evidence During a Compliance Audit
- 5.5 Use Case: AI-Based Compliance Evidence Reviewer
- 6.1 Third-Party Security Risk
- 6.2 AI-Assisted Vendor Security Assessment
- 6.3 AI for Continuous Third-Party Monitoring
- 6.4 Case Study: Critical Cloud Vendor with Security Deficiencies
- 6.5 Use Case: AI Vendor Security Review Assistant
- 7.1 AI-Enabled Compliance Monitoring
- 7.2 AI for Security Incident Compliance
- 7.3 AI-Assisted Security Auditing
- 7.4 Case Study: Repeated Control Failures Before an Audit
- 7.5 Use Case: AI Security Compliance Monitoring Dashboard
- 8.1 Establishing an AI-Enabled Compliance Program
- 8.2 Governance of AI Used for Compliance
- 8.3 AI Agents for Compliance Automation
- 8.4 Case Study: Organization-Wide AI Compliance Transformation
- 8.5 Use Case: AI-Powered Security Compliance Control Tower
- 8.6 Capstone Hands-on: Build an End-to-End AI-Powered Security Compliance Program
- 1.1 What Are AI Agents?
- 1.2 Key Capabilities of AI Agents in Cyber Security Compliance
- 1.3 Applications and Trends for AI Agents in Security Compliance
- 1.4 How Does an AI Agent Work?
- 1.5 Core Characteristics of AI Agents
- 1.6 Types of AI Agents
Tools You'll Explore
Checkmarx
Snyk
Nmap
Wireshark
Burp Suite
Nessus
Splunk
IBM QRadar
Palo Alto Cortex XSOAR
Microsoft Sentinel
Prerequisites
- Basic cybersecurity, networking, programming, and AI/ML fundamentals.
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: Foundations of AI-Enabled Security Compliance - 11%
- Module 2: Using AI to Interpret Security Standards and Requirements - 11%
- Module 3: AI-Assisted Security Risk and Compliance Gap Assessment - 11%
- Module 4: AI for Security Policy and Procedure Management - 11%
- Module 5: AI for Control Implementation and Evidence Management - 11%
- Module 6: AI for Third-Party Security Compliance - 11%
- Module 7: AI for Compliance Monitoring, Incident Management, and Auditing - 11%
- Module 8: AI-Powered Security Compliance Program and Capstone - 11%
- Optional Module: AI Agents Security Compliance - 12%
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.