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
Source captured0
No supporting claim found411
Excluded from evidence6
Showing 461–480 of 1280 evidence records
What the vendor saysPrompt Security claims dynamic risk scoring of more than 13,000 Model Context Protocol (MCP) servers, vulnerability profiles, certification checks, shadow-server discovery, and agent skill integrity and drift checks.
Exact source quoteMCP risk scoring, dynamically assessing over 13,000 MCP servers on GitHub to identify emerging threats.
Related framework references (5)
What the vendor saysPrompt Security claims an AI and Model Context Protocol (MCP) Gateway that inspects requests, responses, prompts, templates, agent actions, and server interactions in real time with allow or block policy, threat intelligence, data loss prevention (DLP), and endpoint enforcement.
Exact source quoteInspecting every request and response in real time to protect sensitive data and information.
Related framework references (5)
What the vendor saysPrompt Security claims granular policy by user, group, server, and action plus attribution of AI use, data sharing, agent responses, and Model Context Protocol (MCP) activity.
Exact source quoteAllow/block by user, server, or action according to your security policy.
Related framework references (5)
What the vendor saysPrompt Security claims endpoint and integrated development environment (IDE)-integrated governance for coding assistants, Model Context Protocol (MCP) servers, exposed commands, secrets, PII, generated code, prompt responses, and action-level policy across tools including Cursor and GitHub Copilot.
Exact source quoteFine-grained policies that determine which MCPs are allowed, which commands can be run, and under what circumstances.
Related framework references (5)
What the vendor saysHarmonic claims organization-wide AI discovery, interaction visibility, team-level intent analysis, unified policy for humans and agents, governance analytics, auditability, and real-time controls across browser, desktop, embedded, and Model Context Protocol (MCP) surfaces.
Exact source quoteEvery interaction visible. Every interaction governable.
Related framework references (5)
Research findingHarmonic platform 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.
Related framework references (5)
Research findingHarmonic platform materials reviewed did not establish model artifact scanning, provenance, signing, dependency analysis, Model Context Protocol (MCP) component risk scoring, tamper detection, or model-registry release controls.
Related framework references (5)
What the vendor saysHarmonic claims a locally installed Model Context Protocol (MCP) Gateway and endpoint controls that intercept Model Context Protocol (MCP) traffic, inspect prompt and tool interactions, block risky actions, prevent sensitive-data exfiltration, and apply intent-aware policy in under 200 milliseconds.
Exact source quoteTransparently intercepts all MCP traffic enabling security teams to discover what clients and servers are in use, enforce granular policies to block risky actions.
Related framework references (5)
What the vendor saysHarmonic claims a common policy plane for agents and humans with contextual, team-based controls over agent tool and server actions.
Exact source quoteAgents and humans on the same policy plane.
Related framework references (5)
What the vendor saysHarmonic claims device and Model Context Protocol (MCP) gateway controls for integrated development environment (IDE) coding assistants, local development environments, agent tool calls, source code, internal identifiers, infrastructure configuration, and sensitive-data flows.
Exact source quoteThe ability to apply policy controls at the point where the AI agent interacts with internal systems.
Related framework references (5)
What the vendor saysCyberhaven claims continuous inventory of AI agents, applications, and Model Context Protocol (MCP) servers, multidimensional AI risk scoring, data-lineage chain of custody, behavioral telemetry, and policy enforcement for autonomous systems.
Exact source quoteContinuous, automatically maintained inventory of every AI agent, GenAI application, and MCP server across your environment.
Related framework references (5)
Research findingCyberhaven AI 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.
Related framework references (5)
What the vendor saysCyberhaven claims continuous inventory of agents, local models, plugins, Model Context Protocol (MCP) servers, and tools plus AI Risk IQ scoring that includes model integrity and tracks component and version changes through endpoint and data lineage context.
Exact source quoteCyberhaven assigns an AI Risk IQ score across five dimensions: data sensitivity, model integrity, compliance adherence, user access, and security infrastructure.
Related framework references (5)
What the vendor saysCyberhaven claims endpoint-resident runtime observability and policy enforcement across agent files, application programming interfaces (APIs), Model Context Protocol (MCP) servers, tools, outputs, and sensitive-data movement using behavioral context and data lineage.
Exact source quoteThe third pillar is runtime policy enforcement.
Related framework references (5)
What the vendor saysCyberhaven claims user and device attribution, user-access risk scoring, agent activity chain of custody, and visibility into agents operating with user permissions.
Exact source quoteSecurity teams can see which files were accessed, how data moved, and whether sensitive content traveled to an unexpected destination.
Related framework references (5)
What the vendor saysCyberhaven claims endpoint inventory and full execution-lifecycle reconstruction for local coding agents across browsers, CLIs, integrated development environments (IDEs), files, Model Context Protocol (MCP) servers, application programming interfaces (APIs), generated outputs, and sensitive-data movement.
Exact source quoteContinuously inventories AI agents running across endpoints, browsers, command-line interfaces, and IDEs.
Related framework references (5)
What the vendor saysNightfall claims agent and Model Context Protocol (MCP) inventory, user and device attribution, usage mapping, audit-ready reports, full request and response logs, approval status, and consistent generative AI governance across software as a service (SaaS), endpoints, and agentic workflows.
Exact source quoteExport audit-ready reports for compliance teams.
Related framework references (5)
Research findingNightfall Model Context Protocol (MCP) and agent 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.
Related framework references (5)
What the vendor saysNightfall claims a registry of more than 20,000 Model Context Protocol (MCP) servers, real-time configuration scanning, version-change monitoring, tool-capability analysis, dependency drift detection, and automatic quarantine of malicious updates before rollout.
Exact source quoteContinuous scanning flags new capabilities and auto-quarantines the update for review before rollout.
Related framework references (5)
What the vendor saysNightfall claims protocol-level interception, full request visibility, granular server and tool control, sensitive-data detection, auto-redaction, blocking, anomaly detection, and quarantine across Model Context Protocol (MCP) prompts, files, application programming interface (API) calls, responses, and tools.
Exact source quoteMonitor every MCP tool call in real-time.
Related framework references (5)