AGENTIC RAG
Agentic RAG for the Enterprise: Building Intelligent AI Agents with Microsoft Foundry Enterprise AI is moving beyond simple chatbots and classic RAG patterns. In this session, we will explore how Agentic RAG can help organizations build smarter, more autonomous AI solutions using Microsoft Foundry. We will cover how Agentic RAG combines retrieval, reasoning, tools, orchestration, grounding, and guardrails to solve real enterprise use cases. The session will also share practical architecture patterns, implementation tips, common pitfalls, security considerations, performance tuning techniques, and lessons learned from real-world Microsoft AI projects. By the end of the session, attendees will understand when to use classic RAG versus Agentic RAG, how to design enterprise-ready AI agents, and what best practices to follow when building solutions with Microsoft Foundry. Event Host Girish Uppal | Nehal Shah
Agent365: The Identity-First Control Plane for Scalable AI Agents
As organizations move from AI experimentation to enterprise-scale adoption, AI agents are increasingly becoming persistent actors within the digital environment accessing data, invoking APIs, and executing workflows autonomously. This shift introduces a new governance challenge: How do organizations ensure visibility, control and security as the number of agents scales across cloud, SaaS and endpoint environments? Microsoft Agent365 addresses this challenge by introducing a control plane for AI agents, built on Microsoft Entra, that enables organizations to manage agents using the same identity-driven approach applied to users and applications. Why Identity Becomes Foundational for Agent Governance In traditional enterprise systems, identity platforms were designed to manage: Human identities Application identities Service principals With the introduction of Agent365, this model expands to include AI agents as first-class identities. Each agent is assigned a unique identity in Microsoft Entra, enabling consistent authentication, authorization, and lifecycle management. This approach allows organizations to: Apply policy-based access controls to agents Enforce least privilege access models Integrate agents into existing IAM and Zero Trust frameworks As highlighted in recent partner perspectives, identity is evolving from a supporting capability to a centralized control plane for AI governance. Managing Agent Sprawl with a Unified Control Plane As AI agents proliferate across business units, organizations often face challenges such as: Limited visibility into deployed agents Inconsistent ownership and lifecycle management Over-permissioned or unmanaged access to data Increased operational and security risks Agent365 addresses these challenges through a unified control plane that enables organizations to: Discover and inventory agents across the environment Apply governance policies consistently Secure agent interactions and data access This aligns with Microsoft’s broader approach to enable organizations to observe, govern, and secure AI workloads at scale. Agents as Managed Identities in Microsoft Entra One of the core innovations of Agent365 is the introduction of Entra Agent ID, which treats agents as managed identities within the directory. This enables organizations to manage agents using familiar identity capabilities, including: Conditional Access Role-based and attribute-based access control (RBAC/ABAC) Identity governance workflows (e.g., access reviews, lifecycle policies) Audit and compliance monitoring By aligning agent governance with identity, organizations can extend existing security controls without introducing separate governance silos. Architecture Overview: Identity-Centric Control Plane Agent365 integrates across Microsoft’s security and compliance ecosystem to provide a layered governance model: Identity Layer (Control Plane Foundation) Microsoft Entra ID for Agents Identity governance and lifecycle controls Conditional access enforcement Governance Layer Centralized agent registry (inventory of agents) Ownership and accountability tracking Policy enforcement across agent lifecycle Security and Compliance Layer Microsoft Defender for threat detection and behavior monitoring Microsoft Purview for data protection and compliance Integration with Zero Trust architecture Observability Layer Unified telemetry and dashboards Monitoring of agent activities and interactions Agent365 brings these capabilities together into a centralized experience within Microsoft 365, enabling consistent control across heterogeneous agent ecosystems. Extending Zero Trust Principles to AI Agents As agents operate autonomously and interact with multiple systems, extending Zero Trust principles becomes essential. Agent365 allows organizations to apply: Continuous verification of agent identity Least privilege access enforcement Real-time monitoring and anomaly detection This ensures that agents operate within defined boundaries, reducing the risk of unintended actions or data exposure, while enabling secure scaling of AI adoption. Key Capabilities Supporting Identity as the Control Plane Agent365 enables identity-driven governance through a set of core capabilities: Agent Registry Provides a centralized inventory and visibility across all agents Access Control Enables policy-based and conditional access through Microsoft Entra Lifecycle Management Supports provisioning, updates, and decommissioning of agents Security and Compliance Integration Extends Defender and Purview capabilities to agent workflows Cross-platform Support Enables governance across Microsoft, open-source, and third-party agents These capabilities help organizations manage agent ecosystems with the same rigor applied to workforce identities. Key gaps Agent365 will surface Shadow agents More agents exist than you think built across Copilot Studio, Power Platform, or third-party tools… but never inventoried. Ownerless agents Agents continue running in production with no clear owner or accountability. Over-permissioned access Agents often inherit excessive privileges far beyond least-privilege intent. No lifecycle governance No expiry, no reviews, no retirement. Agents accumulate over time. Untracked multi-agent workflows Agent-to-agent interactions lack complete audit trails. Data exposure via agents Agents amplify existing oversharing risks across enterprise data. Identity & access gaps Traditional conditional access wasn’t designed for autonomous, non-human identities. And in most enterprises, the true scale of these gaps is often underestimated. Enabling Secure and Scalable Agentic AI Organizations are increasingly recognizing that scaling AI is not just about deploying agents, but about ensuring control, visibility and compliance across their operations. Agent365 provides a framework to: Bring agents under a common governance model Align AI operations with enterprise identity architecture Reduce risks associated with unmanaged automation By anchoring agents within Microsoft Entra, enterprises can leverage existing investments in identity, security and compliance to support AI at scale. Conclusion The transition to agentic AI introduces a new category of identity within the enterprise. With Agent365, Microsoft establishes identity as the foundational control plane enabling organizations to manage AI agents as governed, auditable and secure entities. As enterprises continue to adopt AI, this approach ensures that innovation can scale while maintaining the control, trust and compliance required in modern digital environments.
