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AI+ Security Compliance Practitioner™
USD$700.00 (GST excl.)
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.
Duration
Instructor-Led: 5 days (live or virtual)
Self-Paced: 40 hours of content
Self-Paced: 40 hours of content
Format
Online, self-paced
Exam
50 questions, 70% passing, 90 minutes, online proctored exam
Overview
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.
Prerequisites
Basic cybersecurity, networking, programming, and AI/ML fundamentals.
What you’ll learn
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.
Why this certification matters
- 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.
Tools you’ll use
Checkmarx
Snyk
Nmap
Wireshark
Burp Suite
Nessus
Splunk
IBM QRadar
Palo Alto Cortex XSOAR
Microsoft Sentinel
Learning Modules
9 modules
1Module 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
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
2Module 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
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
3Module 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
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
4Module 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
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
5Module 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
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
6Module 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
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
7Module 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
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
8Module 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
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
9Optional Module: AI Agents Security Compliance
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
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
| Format | Online, self-paced |
|---|---|
| Duration | Instructor-Led: 5 days (live or virtual) |
| Exam | 50 questions, 70% passing, 90 minutes, online proctored exam |
| Included | Instructor-led OR Self-paced course + Official exam + Digital badge |
| Prerequisites | Basic cybersecurity, networking, programming, and AI/ML fundamentals. |
| Delivery | Projects & case studies |
| Outcome | Industry-recognized credential + hands-on experience |
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