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.
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.
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Evidence records1280
Source checked863
Needs verification0
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No supporting claim found411
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Showing 41–60 of 71 evidence records
Clear all filtersToken Security claims governance of AI agents from creation through retirement, enforcing ownership, intent, access, and governance over time.
Agents fail over time, not just at creation. Token enforces ownership, intent, access, and governance from an AI agent's creation through retirement.
Token Security claims it logs every AI-agent action across ecosystems for compliance and incident investigation.
Log every AI agent action across ecosystems, ensuring compliance and rapid incident investigation
Operant claims real-time protection across the full agent toolchain from Model Context Protocol (MCP) clients and endpoints to live, interactive agentic applications.
Operant’s real-time protection across the full agent toolchain — from MCP clients and endpoints to live, interactive agentic applications — lets technology leaders move fast without compromising customer privacy
Tenable One AI Exposure claims it detects and stops AI-specific attacks and contains risky or compromised AI agents.
Detect and stop AI-specific attacks such as prompt injection and jailbreak attempts, and contain risky or compromised AI agents before they cause damage.
Elvex claims it provides audit trails for every agent action and decision and visibility into agent and human collaboration.
Audit trails for every agent action and decision
Onyx claims query history and usage analytics for messages and application programming interface (API)-key activity inside its agent/chat platform.
On the Query History page, you can see a log of all messages sent to Onyx.
CrowdStrike claims Falcon Shield identifies hidden agents, maps their usage and access, detects risky behavior, and enables containment.
It identifies hidden agents, maps their usage and access, detects risky behavior, and enables containment through Falcon Fusion SOAR.
HiddenLayer claims Agentic Runtime Visibility observes and reconstructs agent interactions across tools, data, and workflows in real time.
Agentic Runtime Visibility Observe and reconstruct agent interactions across tools, data, and workflows in real time.
Aurascape claims full visibility, adversarial testing, and continuous governance across every tool call and model interaction for agents.
Secure every agent from the first line of code to production runtime, with full visibility, adversarial testing, and continuous governance across every tool call and model interaction.
Cyberhaven claims Agentic AI Visibility reconstructs agent interaction lifecycles with tool calls, data access, and multi-turn conversation context.
Reconstructs the full execution lifecycle of every agent interaction, capturing tool calls, data access, and multi-turn conversation context in a single view.
Knostic claims discovery, detection and response, inventory, supply-chain, and posture management for coding agents and Model Context Protocol (MCP).
Agent discovery (Cursor, Claude, etc.) Detection & Response Inventory / Supply chain Security Posture Management Reputation service
Island claims detailed audit logs of prompts, responses, and agent activity.
Island distinguishes corporate and personal tenants, enforces data boundaries before data reaches AI providers and captures detailed audit logs of prompts, responses, and agent activity.
Aembit claims full attribution for every agent action with audit logs that distinguish human-initiated and agent-initiated access.
Full attribution for every agent action – audit logs definitively distinguish human-initiated access from agent-initiated access
Wiz claims continuous discovery of AI models, agents, Model Context Protocol (MCP) servers, and services across cloud and software as a service (SaaS).
Continuously discover AI models, agents, MCP servers, and services across cloud and SaaS.
Varonis claims discovery and monitoring for AI workloads, AI-created data, AI accounts, and sensitive data flows.
Visualize AI’s sensitive data access Revoke excessive permissions Fix risky AI misconfigurations Monitor AI-created data Classify AI-generated content Apply sensitivity labels Monitor prompts and alert on suspicious activity Keep sensitive data out of LLMs Discover hidden AI workloads Identify sensitive data flows Map AI accounts with access to sensitive data
Pangea claims traffic through its Model Context Protocol (MCP) server, including user prompts from the large language model (LLM) and outputs from tools and data sources, can be checked by configured guardrails.
All traffic through the MCP server—user prompts from the LLM and outputs from tools and data sources—would be checked by configured guardrails.
F5 claims AI Security Platform continuously discovers, traces, and audits tool calls and agent actions.
Agent & MCP visibility: Continuously discover, trace, and audit tool calls and agent actions.
Iterate.ai claims AgentWatch provides visibility into activity between business and coding agents and large language models (LLMs).
Visibility into activity between business/coding agents and LLMs
Credo AI claims continuous evaluation of agent traces with escalation, monitoring, and alerts.
Continuous evaluation of agent traces to detect policy violations, drift, and unsafe behavior, with human-in-the-loop escalation.