Public-source research
Vendor evidence
Review what vendors say publicly, the exact quoted source text, the security requirement each statement may support, and what still needs verification.
Research library coverageCounts describe the research workflow, not vendor quality or product effectiveness.View details
Evidence records1280
Source checked863
Needs verification0
Source captured0
No supporting claim found411
Excluded from evidence6
Entro claims discovery, ownership, lineage, blast-radius mapping, approval workflow, lifecycle provisioning and offboarding, continuous policy, segregation of duties, compliance dashboards, and audit-ready reports for agents and NHIs.
Every discovered agent and identity is mapped with ownership, permissions, lineage, and blast radius.
Related framework references (5)
Entro agent and non-human identity (NHI) security materials reviewed did not provide a public product claim for automated adversarial testing, repeatable attack suites, model or agent red teaming, or release-gate evaluation.
No quoted source text is recorded for this claim.
Related framework references (5)
Entro agent and non-human identity (NHI) security materials reviewed did not establish model artifact scanning, provenance, signing, model dependency analysis, tamper detection, or model-registry release controls.
No quoted source text is recorded for this claim.
Related framework references (5)
Entro claims real-time identity policy across agents and NHIs, just-in-time scoped access, intent monitoring, anomaly detection, and Model Context Protocol (MCP) session auditing for prompts, servers, and agent contacts.
Entro’s AI Detection and Response monitors agent intent in real time, and catches threats at the identity layer.
Related framework references (5)
Entro claims automated agent and non-human identity (NHI) provisioning, accountable ownership, minimum permissions, approval routing, just-in-time access, time bounds, continuous policy, access change, and offboarding.
Entro extends IGA to every AI agent and NHI in your environment.
Related framework references (5)
Entro claims Claude Code intent and Model Context Protocol (MCP) session auditing, endpoint discovery of local agents and Model Context Protocol (MCP) configurations, secret scanning across the SDLC, and identity context for vibe-coding access paths.
The MCP Audit plugin tracks Claude Code sessions and every MCP server each agent contacts.
Related framework references (5)
Entro Security platform materials reviewed did not provide a public product claim for AI usage-cost attribution, token or spend metrics, budgets, chargeback, or cost-aware model routing.
No quoted source text is recorded for this claim.
Related framework references (5)
Entro claims discovery of shadow agents and every agentic AI deployment across cloud, code, CI/CD, on-prem, and collaboration tools.
Discover every NHI, secret and agentic AI deployment across clouds, code, CI/CD, on-prem and collaboration tools
Related framework references (5)
No public claim found for this capability.
No quoted source text is recorded for this claim.
Related framework references (5)
No public claim found for this capability.
No quoted source text is recorded for this claim.
Related framework references (5)
Entro claims it can enforce least-privilege access, right-size excessive access, detect unapproved deployments, and remediate risky agent/non-human identity (NHI) behavior.
Detect and fix unsanctioned agent deployments, rogue MCP servers, and other unwanted behaviors before they escalate.
Related framework references (5)
Entro claims agentic AI security maps agents to non-human identities, entitlements, creators, secrets, and permissions to contain overprivileged access.
mapping agents to non-human identities, entitlements , and creators
Related framework references (5)
No public claim found for this capability.
No quoted source text is recorded for this claim.
Related framework references (5)
Entro Security claims it monitors agents, infers their intent, and secures every action across the environment.
One platform to monitor agents, understand their intent, and secure every action across your environment.
Related framework references (5)
Entro claims continuous monitoring of AI-agent permissions and activity can expose abuse and risky actions through NHIDR.
continuously monitor their permissions and activity on your resources
Related framework references (5)
Entro claims lineage mapping for AI agents across Model Context Protocol (MCP), NHIs, secrets, resources, and environments to expose risky connections.
Entro maps every MCP, NHI, and secret across resources and environments to expose over-privileged access and risky connections.
Related framework references (5)
Entro Security claims it secures the agentic AI and non-human identity (NHI) lifecycle from discovery and classification through observability and remediation.
Secure the Agentic AI and NHI Lifecycle
Related framework references (5)
No public claim found for this capability.
No quoted source text is recorded for this claim.
Related framework references (5)
No public claim found for this capability.
No quoted source text is recorded for this claim.
Related framework references (5)
No public claim found for this capability.
No quoted source text is recorded for this claim.
Related framework references (2)