Accelerated Innovation

Supporting Your GenAI Solution

GenAI I&AM and Change Management Best Practices

Workshop
Are uncontrolled access and untracked changes putting your GenAI systems at compliance and reliability risk?

As GenAI systems evolve rapidly, teams struggle to manage who can access, change, and approve models, prompts, and data. Without disciplined IAM and change management, GenAI environments become opaque, risky, and difficult to audit.

To win, your GenAI solutions must enforce controlled access, traceable change workflows, and auditable operational history.

The Challenge

When GenAI IAM and change management practices are weak, teams face systemic governance failures:

  • Uncontrolled access paths: Identity and access are inconsistently applied across GenAI workflows and environments.
  • Unmanaged change flow: Model, prompt, and data changes move to production without clear approval or accountability.
  • Limited auditability: Teams cannot reliably reconstruct who changed what, when, or why.

These gaps increase compliance risk, reduce trust in GenAI outputs, and slow safe production delivery.

Our Solution

In this hands-on workshop, your team applies best practices for securing and governing GenAI systems through structured IAM and change management workflows.

  • Integrate identity and access controls directly into GenAI development and operational workflows.
  • Design approval processes for managing changes to GenAI models.
  • Track changes across prompts, logic, and datasets with clear ownership and traceability.
  • Implement role-based change management aligned to team responsibilities.
  • Audit IAM and change logs to support compliance and operational review.
Area of Focus
  • Integrating Identity and Access in GenAI Workflows
  • Managing Change Approvals for GenAI Models
  • Tracking Changes in Prompts, Logic, and Datasets
  • Implementing Role-Based Change Management
  • Auditing IAM and Change Logs for Compliance
Participants Will
  • Apply identity and access controls consistently across GenAI workflows.
  • Manage GenAI changes through defined approval and role-based processes.
  • Maintain traceability across model, prompt, and data changes.
  • Support compliance through auditable IAM and change records.
  • Reduce operational and regulatory risk in GenAI production environments.

Who Should Attend:

Security EngineerML EngineersPlatform EngineersSecurity/Risk/Compliance LeadersEngineering Managers MLOps / LLMOps Engineers

Solution Essentials

Format

Facilitated workshop (in-person or virtual) 

Duration

4 hours 

Skill Level

Intermediate 

Tools

Identity systems, change management workflows, and audit tooling in a guided environment

Are your GenAI environments auditable, compliant, and ready for production scrutiny?