Accelerated Innovation

Building Responsible GenAI Solutions

A Deep Dive into Compliance & Logging for Responsible AI

Workshop
Can you prove how your GenAI systems behave—without violating privacy, residency, or regulatory constraints?

Compliance and logging are essential for responsible AI, yet GenAI systems introduce new challenges around traceability, data handling, and auditability. This workshop focuses on designing logging and compliance controls that stand up to real regulatory and operational scrutiny.

To win, your GenAI platforms must provide defensible audit trails and compliance guarantees while respecting privacy and data boundaries.

The Challenge

When compliance and logging are treated as afterthoughts, GenAI systems become difficult to govern at scale.

  • Incomplete visibility: Logs fail to capture critical GenAI activities needed for investigation or review.
  • Policy misalignment: Retention, access, and residency requirements are inconsistently enforced across systems.
  • Privacy tension: Teams struggle to balance observability needs with user privacy and data protection obligations.

These weaknesses expose organizations to regulatory risk, delayed audits, and loss of stakeholder trust.

Our Solution

In this hands-on workshop, your team designs practical compliance and logging strategies through applied scenarios and guided exercises.

  • Configure logs to capture meaningful GenAI activities without excessive data collection.
  • Define logging retention and access policies aligned with regulatory and organizational requirements.
  • Enable audit trails that support internal reviews and external regulatory inquiries.
  • Ensure compliance with data residency rules across environments and regions.
  • Balance observability and privacy through principled logging and access design.
Area of Focus
  • Configuring Logs for GenAI Activities
  • Defining Logging Retention and Access Policies
  • Enabling Audit Trails for Regulatory Review
  • Ensuring Compliance with Data Residency Rules
  • Balancing Observability with Privacy
Participants Will
  • Design logging strategies that support accountability and regulatory review.
  • Define retention and access policies that reduce compliance risk.
  • Enable traceable audit trails for GenAI system behavior.
  • Enforce data residency requirements across deployments.
  • Balance observability needs with privacy and data protection constraints.

Who Should Attend:

AI EngineerSecurity EngineerGovernance, Risk & Compliance (GRC) ManagerTechnical Product ManagersPlatform EngineersEngineering Managers

Solution Essentials

Format

Facilitated workshop (in-person or virtual) 

Duration

4 hours 

Skill Level

Intermediate 

Tools

Logging configurations, policy design exercises, and compliance review scenarios

Ready to design compliance controls that scale without sacrificing privacy?