A Practical Microsoft AI Framework for Identity, Autonomy, Human Oversight and Enterprise Trust

Session Abstract

Enterprise AI is crossing an important boundary: from systems that answer questions and generate recommendations to AI agents capable of reasoning, making decisions and taking actions across business systems.

That transition creates a fundamentally different trust problem.

What happens when an AI agent can access sensitive enterprise knowledge, initiate workflows, interact with operational systems or make decisions that affect people and processes? And how do we determine what an agent should be allowed to do autonomously—and when a human must remain in the loop?

In this session, Srishti Jha introduces the Agent Trust Stack™, a practical framework for designing and deploying trustworthy enterprise AI agents across eight layers: Identity, Context, Permission, Reasoning, Action, Oversight, Auditability and Human Trust.

Using an industrial operations scenario, the session will demonstrate how these principles can be applied when designing an enterprise agent using the Microsoft AI ecosystem, including Microsoft Foundry, Azure AI services and enterprise identity, security and governance patterns.

Attendees will explore how to move beyond the AI prototype and address the harder questions that emerge when agents enter real operational environments

Intended Audience

AI developers, architects, technical leaders, product managers, technology executives, governance and security professionals, and organizations moving Microsoft AI solutions from experimentation toward enterprise production.

Level: Intermediate

Format: 45-minute conference session

Primary Topics: Microsoft Foundry / Azure AI • Agentic AI • Responsible AI • Governance & Security • Enterprise AI