AI in Compliance Lifecycle - From Policy Framework to Enforcement

Navigate compliance from policy creation to automated enforcement—streamline audits, reporting & risk mitigation. #RegTech #Governance
Duration: 1 Day
Hours: 2 Hours
Training Level: All Levels
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Batch Two
Tuesday, August 12, 2025
12:00 PM - 02:00 PM (Eastern Time)
Batch Three
Thursday, September 11, 2025
12:00 PM - 02:00 PM (Eastern Time)
Live Session
Single Attendee
$149.00 $249.00
Live Session
Recorded
Single Attendee
$199.00 $332.00
6 month Access for Recorded
Live+Recorded
Single Attendee
$249.00 $416.00
6 month Access for Recorded
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About the Course:

In an era of increasing regulatory complexity and data-driven operations, compliance is no longer just a legal obligation—it’s a strategic imperative. This course, "AI in Compliance Lifecycle – From Policy Framework to Enforcement", explores how Artificial Intelligence can enhance every stage of the compliance lifecycle, from drafting policy frameworks to monitoring, auditing, and enforcement. Participants will gain insights into how AI tools—especially large language models like ChatGPT—can streamline compliance documentation, detect anomalies, assess risk, and ensure regulatory alignment with greater accuracy and efficiency.

Course Objectives:

By the end of this course, participants will be able to:

  • Understand the full compliance lifecycle and identify stages where AI can add value.
  • Use AI tools to help draft, interpret, and maintain compliance policies and frameworks.
  • Leverage AI for automated risk assessments, control mapping, and gap analysis.
  • Utilize AI for continuous monitoring, audit support, and regulatory reporting.
  • Recognize limitations, ethical considerations, and data privacy risks when using AI in compliance contexts.
  • Integrate AI technologies into existing GRC (Governance, Risk, and Compliance) processes.

Who is the Target Audience?

This course is ideal for:

  • Compliance Officers and Managers
  • Risk and Governance Professionals
  • IT Governance Teams
  • Security and Privacy Officers
  • Legal and Regulatory Affairs Teams
  • Audit and Internal Control Professionals
  • Technology Leaders seeking to modernize compliance functions with AI

Basic Knowledge:

  • No prior AI experience is required. A basic understanding of compliance principles is recommended.

Curriculum
Total Duration: 2 Hours
Module 1: Foundations of AI in Compliance

  • The compliance lifecycle: Policy → Controls → Monitoring → Enforcement
  • Introduction to AI and Large Language Models (LLMs)
  • The evolving role of AI in GRC (Governance, Risk, and Compliance)

Module 2: Policy Creation and Interpretation with AI 

  • Using AI to draft or review policies (e.g., data protection, access controls)
  • Converting regulations into actionable internal policies
  • AI for multi-jurisdictional policy alignment (e.g., GDPR, HIPAA, SOX)
  • Hands-on: Prompting ChatGPT to generate a policy document

Module 3: Risk Assessment and Control Mapping

  • Automating risk identification and scoring using AI
  • Mapping controls to policies using AI (e.g., NIST, ISO 27001 frameworks)
  • Detecting compliance gaps through AI-assisted analysis
  • Case Study: AI-generated control matrices

Module 4: AI for Monitoring, Auditing, and Enforcement 

  • Continuous control monitoring with AI and ML
  • Anomaly detection in logs and behavior data
  • AI in audit trail analysis and regulatory reporting
  • Drafting incident response plans and compliance reports with AI

Module 5: Integration and Governance of AI in Compliance

  • Integrating AI into GRC platforms (e.g., Archer, ServiceNow)
  • AI model governance: bias, explainability, and accountability
  • Data privacy and ethical considerations in compliance with AI

Q&A and Wrap-Up 

  • Open Q&A
  • Discussion on challenges and future trends
  • Resources for tools, frameworks, and continued learning