Entro Security Launches AGA to Govern AI Agents and Non-Human Identities Across the Enterprise

Why It Matters

As AI agents proliferate, enterprises face blind spots in access control and compliance; AGA provides the visibility and policy enforcement needed to secure non‑human identities. This shifts AI governance from ad‑hoc to auditable, reducing risk of data exposure and regulatory breaches.

Key Takeaways

• Entro launches AGA to govern AI agents enterprise-wide
• Addresses gaps in traditional Identity Governance tools
• Provides inventory, least‑privilege, audit, enforcement for agents
• Shadow AI Discovery surfaces agents via EDR and cloud integrations
• Available now within Entro platform; demoed at RSA 2026

Pulse Analysis

Enterprise adoption of generative AI has accelerated beyond strategic planning, with developers quickly wiring large language models into workflows. This rapid integration creates a sprawling web of service accounts, API keys, and autonomous agents that traditional Identity Governance and Administration (IGA) solutions cannot track. Without dedicated oversight, organizations risk unchecked privilege escalation, data leakage, and compliance violations as AI agents operate continuously across cloud and on‑premises environments.

Entro Security’s Agentic Governance & Administration (AGA) directly addresses this emerging threat surface. By constructing a three‑layer profile—sources, targets, and identities—AGA inventories every AI agent, maps its access paths, and ties them to human owners. The Shadow AI Discovery feature leverages endpoint detection and response (EDR) data alongside integrations with major agent foundries like AWS Bedrock and Microsoft Copilot Studio to surface hidden agents and the secrets they use. Complementary monitoring and enforcement tools provide real‑time audit trails and policy controls, enabling security teams to enforce least‑privilege principles and block unauthorized data exfiltration.

The broader market implication is clear: AI‑centric identity governance will become a prerequisite for mature security programs. Enterprises that adopt AGA‑style solutions can demonstrate compliance with emerging regulations on AI transparency and data protection, while also reducing operational risk associated with shadow AI. As the RSA Conference 2026 spotlighted these capabilities, vendors are likely to expand similar offerings, making AI agent governance a competitive differentiator for security platforms. Organizations should evaluate their current IGA stack against AGA’s functionality to ensure they are not left vulnerable as AI agents become the default access mechanism.