AI+ Security Compliance Practitioner™

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.

Overview What You'll Learn Certification Modules Certificate Industry Opportunities FAQ Prerequisites Exam Details Exam Blueprint

At a Glance: Course + Exam Overview

Category	AI Security, All Courses, Available Now
Program Name	AI+ Security Compliance Practitioner™
Duration	Instructor-Led:5 days (live or virtual) \| Self-Paced:40 hours of content
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 Format	50 questions, 70% passing, 90 minutes, online proctored exam

Certification Modules

Module 1: Introduction to Cybersecurity Compliance and AI

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.

Module 2: Security and Risk Management with AI

You will learn risk management frameworks, risk assessment techniques, AI-driven risk identification, predictive analytics, incident response, and compliance-focused risk mitigation strategies.

Module 3: Asset Security and AI for Compliance

You will learn AI-based data classification, encryption, privacy-preserving techniques, data anonymization, automated asset discovery, and AI-driven asset monitoring.

Module 4: Security Architecture and Engineering with AI

You will learn AI-driven security architecture, predictive threat modeling, cryptography enhancements, vulnerability assessment, penetration testing, and AI-based access control models.

Module 5: Communication and Network Security with AI

You will learn network security fundamentals, AI-based traffic analysis, intrusion detection, threat hunting, AI-driven firewalls, and automated compliance reporting.

Module 6: Identity and Access Management (IAM) with AI

You will learn authentication, authorization, identity lifecycle management, AI-enhanced biometric authentication, multi-factor authentication, and dynamic access control.

Module 7: Security Assessment and Incident Response with AI

You will learn penetration testing, vulnerability assessment, AI-powered security testing, incident response lifecycle, automated detection, and compliance audits.

Module 8: Security Operations with AI

You will learn SOC operations, AI-assisted threat detection, security orchestration, data protection, disaster recovery planning, and automated security workflows.

Module 9: Software Development Security and Audit with AI

You will learn secure coding practices, AI-based code analysis, vulnerability discovery, application security testing, CI/CD security, threat modeling, and security audits.

Module 10: Future Trends in AI and Cybersecurity Compliance

You will learn emerging AI technologies, predictive threat intelligence, AI governance, ethical AI practices, quantum computing impacts, and future cybersecurity compliance trends.

Finish the course and get certified

Industry Opportunities

Cybersecurity Compliance Analyst

Ensure AI systems comply with cybersecurity regulations, industry standards, and organizational security policies.

GRC Specialist

Manage governance, risk, and compliance programs while supporting secure and responsible AI implementation.

Security Compliance Officer

Develop and enforce security compliance policies to protect AI systems and meet regulatory requirements.

Risk Management Specialist

Identify, assess, and mitigate security and compliance risks associated with AI technologies and enterprise systems.

IT Security Analyst

Monitor security controls, assess vulnerabilities, and support compliance initiatives across IT and AI environments.

Security Auditor

Conduct security audits, evaluate compliance frameworks, and recommend improvements to strengthen organizational security.

AI Security Governance Specialist

Establish governance frameworks that promote secure, ethical, and compliant adoption of AI across the organization.

Compliance Manager

Lead compliance programs, oversee regulatory adherence, and ensure effective implementation of AI security and governance practices.

Frequently Asked Questions

What practical learning opportunities are provided in this certification?

What skills will learners develop through this certification?

What background knowledge is recommended before starting this course?

What learning methods are available for this certification?

What assessment method is used for certification completion?

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

Passing Score

70%

Format

50 multiple-choice/multiple-response questions

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%

Self-Paced Online

Self-Paced Online: 40 hours of content

Price: $195

Instructor-Led Online

Instructor-Led Online: 5 days (live or virtual)

Core AI Tools Covered

Checkmarx
Snyk
Nmap
Wireshark
Burp Suite
Nessus
Splunk
IBM QRadar
Palo Alto Cortex XSOAR
Microsoft Sentinel