AI+ Security Compliance Practitioner™
AT-230
Formerly known as AI+ Security Compliance™Empowering Compliance Through AI 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.
Why This Certification Matters
At a Glance: Course + Exam Overview
- Instructor-Led: 5 days (live or virtual)
- Self-Paced: 40 hours of content
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.
Skills You'll Gain
- Cybersecurity Compliance Management
- AI-Driven Risk Assessment and Mitigation
- Compliance Framework Implementation (GDPR, HIPAA, PCI-DSS, NIST)
- Security Auditing and Compliance Monitoring
- AI-Powered Threat Detection and Incident Response
- Asset Security and Data Protection
- AI-Based Data Classification and Privacy Protection
- Security Architecture and Engineering with AI
- AI-Enhanced Network Security Management
- Identity and Access Management (IAM) with AI
- Security Operations and Workflow Automation
- Secure Software Development and AI-Based Security Testing
- AI Governance and Responsible AI Practices
- Predictive Threat Intelligence and Risk Management
What You'll Learn
- You will learn cybersecurity compliance principles, international standards such as GDPR and ISO, compliance program development, risk assessments, and how AI improves compliance monitoring and risk management.
- You will learn risk management frameworks, risk assessment techniques, AI-driven risk identification, predictive analytics, incident response, and compliance-focused risk mitigation strategies.
- You will learn AI-based data classification, encryption, privacy-preserving techniques, data anonymization, automated asset discovery, and AI-driven asset monitoring.
- You will learn AI-driven security architecture, predictive threat modeling, cryptography enhancements, vulnerability assessment, penetration testing, and AI-based access control models.
- You will learn network security fundamentals, AI-based traffic analysis, intrusion detection, threat hunting, AI-driven firewalls, and automated compliance reporting.
- You will learn authentication, authorization, identity lifecycle management, AI-enhanced biometric authentication, multi-factor authentication, and dynamic access control.
- You will learn penetration testing, vulnerability assessment, AI-powered security testing, incident response lifecycle, automated detection, and compliance audits.
- You will learn SOC operations, AI-assisted threat detection, security orchestration, data protection, disaster recovery planning, and automated security workflows.
- You will learn secure coding practices, AI-based code analysis, vulnerability discovery, application security testing, CI/CD security, threat modeling, and security audits.
- You will learn emerging AI technologies, predictive threat intelligence, AI governance, ethical AI practices, quantum computing impacts, and future cybersecurity compliance trends.
Tools You'll Explore
Checkmarx
Snyk
Nmap
Wireshark
Burp Suite
Nessus
Splunk
IBM QRadar
Palo Alto Cortex XSOAR
Microsoft Sentinel
Prerequisites
- Basic understanding of cybersecurity principles, including threat prevention, detection, and response.
- Knowledge of networking fundamentals, including protocols, network architecture, and data transmission.
- Familiarity with programming concepts and languages (Python recommended).
- Foundational knowledge of AI or Machine Learning is beneficial but not mandatory.
Exam Details
Duration
90 minutes
Passing Score
70% (35/50 Correct)
Format
Multiple Choice Questions (MCQ)
Delivery Method
Online via proctored exam platform
Exam Blueprint:
- Introduction to Cybersecurity Compliance and AI - 10%
- Security and Risk Management with AI - 10%
- Asset Security and AI for Compliance - 10%
- Security Architecture and Engineering with AI - 10%
- Communication and Network Security with AI - 10%
- Identity and Access Management (IAM) with AI - 10%
- Security Assessment and Incident Response with AI - 10%
- Security Operations with AI - 10%
- Software Development Security and Audit with AI - 10%
- Future Trends in AI and Cybersecurity 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
Instructor-Led (Live Virtual/Classroom)
- 5 days of intensive training with live demos
- Real-time Q&A, peer collaboration, and hands-on labs
- Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
- ~40 hours of on-demand video lessons, e-book, podcasts, and interactive labs
- Learn anywhere, anytime, with modular quizzes to track progress
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Get CertifiedFrequently Asked Questions
Learners develop practical skills through projects and case studies focused on AI-powered compliance and security solutions.
Learners will gain knowledge of cybersecurity compliance, AI-driven risk management, asset security, IAM, security operations, and AI security trends.
Learners should have basic knowledge of cybersecurity, networking, programming, and AI/ML fundamentals.
Learners can choose between instructor-led training or a self-paced learning format based on their preferences.
Certification completion requires passing an online proctored exam with 50 questions and a 70% passing score.