As enterprises struggle to control rapidly growing AI deployments, Astrix Security AI agent discovery is emerging as a critical capability for managing visibility and governance across autonomous systems.

At RSA Conference 2026, Astrix Security announced a major expansion of its AI agent security platform, introducing enhanced discovery capabilities and a new policy enforcement layer. The update is designed to address a widening gap in enterprise security, where AI agents are being deployed faster than governance frameworks can keep up.

Organizations are increasingly facing challenges similar to those seen during the rise of shadow SaaS. AI agents can be deployed within minutes, often without formal review, gaining access to sensitive systems before security teams are even aware of their existence. This creates a situation where visibility alone is insufficient, as risks persist without mechanisms to control agent behavior.

Astrix AI agent discovery is built on a four method architecture that identifies all AI agents across enterprise environments, including sanctioned and shadow deployments. The platform integrates directly with major AI ecosystems such as Microsoft Copilot, Amazon Bedrock, Google Vertex, OpenAI, and Salesforce Agentforce, providing visibility into registered agents and model context protocol servers.

Beyond platform integrations, Astrix uses non human identity fingerprinting to detect agents operating through credentials such as service accounts, API keys, and OAuth applications. It also leverages telemetry from endpoint detection and response systems, network sensors, and browser tools to uncover agents that operate outside traditional platforms, including those running locally within development environments. A bring your own service capability further extends discovery to proprietary or custom built systems.

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All discovered agents are mapped to their associated identities, credentials, and accessible resources, along with accountable human owners. The platform automatically scores risk based on access levels and potential impact, enabling security teams to prioritize remediation effectively. Continuous monitoring of runtime behavior allows organizations to detect anomalies, unauthorized actions, and credential misuse in real time.

To complement discovery, Astrix has expanded its Agent Control Plane with new Agent Policies that enable direct enforcement of security rules. These policies allow teams to define permissions based on user roles, departments, agent platforms, and resource types. Actions can be allowed, flagged, or blocked before execution, ensuring proactive control over agent behavior rather than reactive response.

“Shadow AI agents are not a theoretical problem. Before security knows an agent exists, it already has access to sensitive data and production operations with no owner on record,” said Idan Gour, President and Co-Founder, Astrix Security. “Agents don’t just read anymore. They write, delete, and execute across systems. Discovery tells you what’s there and what it can reach. Policy enforcement tells you what it’s allowed to do. That full arc, from finding every agent to controlling every action, is what a real agent control plane looks like. That’s what we’re building.”

The addition of policy enforcement transforms the platform from a visibility tool into a comprehensive control system for AI agents. This capability is increasingly important as organizations seek to scale AI adoption while maintaining security and compliance.

As AI continues to expand across enterprise environments, Astrix AI agent discovery highlights the importance of combining visibility with governance. By enabling organizations to identify, monitor, and control AI agents in real time, Astrix is helping define a new standard for securing autonomous systems in the modern enterprise.

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