AI Governance with Agent 365

EPAM’s AI Governance with Agent 365 implementation enables organizations to securely adopt and scale Enterprise AI agents with full visibility, control, and compliance. This offer is designed for CIOs, CISOs, AI platform owners, and enterprise architects who need to manage rapidly growing AI usage, eliminate risks from Shadow AI control, and establish enterprise-grade AI governance across their organization.

Many enterprises face limited visibility into AI agents, uncontrolled access to sensitive data, and lack of traceability for AI-driven decisions. This engagement addresses these challenges by implementing a governed AI ecosystem using Microsoft Entra ID, Microsoft Purview, Microsoft Defender, and AI agent orchestration capabilities aligned with Microsoft best practices, ensuring secure, compliant, and scalable AI adoption.

What You Will Receive

• AI Agent Discovery & Inventory: Identification and cataloging of all AI agents, including unmanaged or external agents (“shadow AI”), with full visibility into usage and integrations.
• Secure Access & Policy Enforcement: Implementation of identity-based access control using Microsoft Entra ID and governance policies to prevent over-permissioning and data exposure.
• AI Transparency & Auditability: Deployment of monitoring and logging mechanisms to ensure all AI decisions are traceable and explainable for compliance and audit readiness.
• Lifecycle Governance Framework: Definition and automation of AI agent lifecycle management, including onboarding, ownership, reviews, and decommissioning.
• Regulatory Alignment: Governance model aligned with EU AI Act and global regulatory requirements, supported by Microsoft Purview data governance capabilities.

Implementation Approach

Phase 1 — Discover & Govern Data Access

• Assess current AI landscape, data access patterns, and governance gaps.
• Enable AI visibility and data governance using Microsoft Purview.
• Deliver AI inventory report and governance baseline.

Phase 2 — Secure Identity & Eliminate Shadow AI

• Implement identity and access controls using Microsoft Entra ID.
• Establish policies to detect and eliminate unauthorized AI agents.
• Deliver access control architecture and policy definitions.

Phase 3 — Automated Lifecycle Governance

• Define runtime permissions, governance zones, and policy blueprints.
• Implement automated reviews, recertification, and lifecycle orchestration.
• Deliver governance workflows, automation scripts, and operational runbooks.

Phase 4 — Traceability & Compliance

• Enable decision logging, explainability APIs, and real-time monitoring using Microsoft Defender.
• Implement audit trails and compliance dashboards.
• Deliver compliance reports, monitoring dashboards, and audit artifacts.

Expected Outcomes

• Full visibility into all AI agents, including shadow and external integrations.
• Reduced risk of data exposure through policy-driven access control.
• Enterprise-scale AI governance without slowing innovation.
• Improved compliance posture with traceable, auditable AI operations.
• Increased stakeholder trust through transparent and accountable AI systems.