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AI+ Security Compliance Practitioner™

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.

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Certificate Code

AT-230

Exam Format

AI-Driven Remote Exam Proctoring

Course Overview

Important details and certification information

Instructor-led OR Self-paced course + Official exam + Digital badge
Instructor-Led: 3 Days (live or virtual)
Basic cybersecurity, networking, programming, and AI/ML fundamentals.
50 questions, 70% passing, 90 minutes, online proctored exam

Certification Modules

  1. 1.1 Fundamentals of Security Compliance
  2. 1.2 Fundamentals of AI for Compliance Professionals
  3. 1.3 Applications of AI Across the Compliance Lifecycle
  4. 1.4 Case Study: Manual Compliance Process Causing Audit Delays
  5. 1.5 Use Case: AI Compliance Assistant for a Growing Organization

  1. 2.1 Understanding Security Frameworks and Standards
  2. 2.2 AI-Assisted Requirement Interpretation
  3. 2.3 AI-Enabled Control Mapping
  4. 2.4 Case Study: Multiple Framework Compliance at a Technology Company
  5. 2.5 Use Case: AI-Based Cross-Framework Control Mapping

  1. 3.1 Security Risk Assessment Fundamentals
  2. 3.2 Using AI for Security Risk Identification
  3. 3.3 AI-Driven Compliance Gap Assessment
  4. 3.4 Case Study: Compliance Gaps Following a Security Assessment
  5. 3.5 Use Case: AI-Assisted Security Risk Register

  1. 4.1 Security Governance Documentation
  2. 4.2 Using AI to Create and Improve Security Policies
  3. 4.3 AI for Policy Compliance Monitoring
  4. 4.4 Case Study: Outdated Information Security Policies
  5. 4.5 Use Case: AI Policy Review Assistant

  1. 5.1 Security Control Implementation
  2. 5.2 AI-Assisted Control Design and Documentation
  3. 5.3 AI-Enabled Evidence Management
  4. 5.4 Case Study: Incomplete Evidence During a Compliance Audit
  5. 5.5 Use Case: AI-Based Compliance Evidence Reviewer

  1. 6.1 Third-Party Security Risk
  2. 6.2 AI-Assisted Vendor Security Assessment
  3. 6.3 AI for Continuous Third-Party Monitoring
  4. 6.4 Case Study: Critical Cloud Vendor with Security Deficiencies
  5. 6.5 Use Case: AI Vendor Security Review Assistant

  1. 7.1 AI-Enabled Compliance Monitoring
  2. 7.2 AI for Security Incident Compliance
  3. 7.3 AI-Assisted Security Auditing
  4. 7.4 Case Study: Repeated Control Failures Before an Audit
  5. 7.5 Use Case: AI Security Compliance Monitoring Dashboard

  1. 8.1 Establishing an AI-Enabled Compliance Program
  2. 8.2 Governance of AI Used for Compliance
  3. 8.3 AI Agents for Compliance Automation
  4. 8.4 Case Study: Organization-Wide AI Compliance Transformation
  5. 8.5 Use Case: AI-Powered Security Compliance Control Tower
  6. 8.6 Capstone Hands-on: Build an End-to-End AI-Powered Security Compliance Program

  1. 1.1 What Are AI Agents?
  2. 1.2 Key Capabilities of AI Agents in Cyber Security Compliance
  3. 1.3 Applications and Trends for AI Agents in Security Compliance
  4. 1.4 How Does an AI Agent Work?
  5. 1.5 Core Characteristics of AI Agents
  6. 1.6 Types of AI Agents

AI Tools Covered

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