Entro Security has taken a decisive step in shaping the future of enterprise AI security by announcing its new AI Agents Discovery and Observability solution. The move builds directly on its existing expertise in securing secrets and non-human identities (NHIs), but now extends protection to the fast-multiplying class of AI agents that are reshaping enterprise environments. These are not simple chatbots or assistive scripts. They are autonomous NHIs, powered by large language models (LLMs), and granted access through sensitive credentials and entitlements. Without oversight, they can rapidly generate shadow access points and dangerously over-privileged links across critical enterprise systems.
The timing is crucial. The adoption of standards such as the Model Context Protocol (MCP) is accelerating the spread of agentic AI, multiplying NHIs, expanding privilege chains, and inadvertently exposing secrets at an unprecedented rate. Entro’s platform addresses this risk by discovering AI agents in real environments, mapping them to both their credentials and their human creators, and establishing a framework where productivity and innovation do not compromise enterprise security. By enforcing least privilege, attributing ownership, and continuously monitoring behavior, Entro ensures AI-driven automation is accountable, transparent, and secure.
At the heart of Entro’s extension are four new capabilities that align with its broader vision. Agent Discovery and Inventory gives security teams full visibility of all AI agents, NHIs, and secrets across the stack, exposing hidden or inactive entities. NHIDR™ AI Threat Detection creates behavioral baselines for how agents interact with tools and permissions, flagging anomalies, privilege abuse, or risky deviations in real time. Ownership and Lifecycle Management ties every agent back to a human owner while automating vital processes like credential rotation, vaulting, and decommissioning. Finally, Agent and NHI Posture examines each agent’s purpose, permissions, and potential blast radius, highlighting over-privileges and policy violations so enterprises can enforce least privilege rigorously.
Entro positions this addition not as a bolt-on but as a natural progression of its security pillars. According to CEO Itzik Alvas, the expansion was driven by unavoidable signals from customer environments: agents were multiplying NHIs and exposing secrets faster than organizations could cope, creating a fresh attack surface. Entro’s move to secure agentic AI is therefore not just reactive but anticipatory, providing enterprises with the confidence to adopt, scale, and innovate with AI while maintaining full visibility and control over a rapidly evolving risk landscape.
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