AI+ Security Compliance Practitioner™

Formerly known as AI+ Security Compliance™ <br> <br> Empowering Compliance Through AI

Certificate Code: AT-230

About This Course

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.

Certificate Overview

Included

Instructor-led OR Self-paced course + Official exam + Digital badge

Duration

Instructor-Led: 5 days (live or virtual)
Self-Paced: 40 hours of content

Prerequisites

Basic cybersecurity, networking, programming, and AI/ML fundamentals.

Exam Format

50 questions, 70% passing, 90 minutes, online proctored exam

Course Modules

Module 1: Foundations of AI-Enabled Security Compliance

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

Module 2: Using AI to Interpret Security Standards and Requirements

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

Module 3: AI-Assisted Security Risk and Compliance Gap Assessment

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

Module 4: AI for Security Policy and Procedure Management

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4.4 Case Study: Outdated Information Security Policies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

Module 5: AI for Control Implementation and Evidence Management

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

Module 6: AI for Third-Party Security Compliance

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

Module 7: AI for Compliance Monitoring, Incident Management, and Auditing

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

Module 8: AI-Powered Security Compliance Program and Capstone

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