ASAI Security ResearchIndependent public-source research
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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

Showing 41–60 of 70 evidence records

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Entro SecurityAgent-to-agent communication securitySource checkedLimited public support for this requirement

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)
Token SecurityAgent-to-agent communication securitySource checkedLimited public support for this requirement

Token Security claims monitoring and auditing of AI agent actions to maintain compliance in multi-agent ecosystems.

Traceability in a Multi-Agent Ecosystem Monitor and audit AI agent actions to maintain compliance
Related framework references (5)
Operant AIAgent-to-agent communication securitySource checkedLimited public support for this requirement

Operant AI claims real-time protection across the agent toolchain, including Model Context Protocol (MCP) clients, endpoints, and 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
Related framework references (5)
Apex Security / TenableAgent-to-agent communication securitySource checkedLimited public support for this requirement

Apex Security / Tenable AI Exposure inventories AI agents and surfaces their attack surfaces, trust models, and governance challenges within an organization.

introduces new attack surfaces, trust models, and governance challenges
Related framework references (5)
Onyx AIAgent-to-agent communication securitySource checkedLimited public support for this requirement

Onyx claims controlled Model Context Protocol (MCP) actions for AI agents and admin selection of available tools, partially mapping to agent-to-tool security rather than broad agent-to-agent security.

Model Context Protocol (MCP) enables AI Agents to invoke tools and services in a controlled manner.
Related framework references (5)
CrowdStrike AI SecurityAgent-to-agent communication securitySource checkedStrong public support for this requirement

CrowdStrike claims its AIDR, Agentic SOAR workflow controls, and AgentWorks guardrails secure agent-to-agent and analyst-to-agent collaboration.

native AI Detection and Response (AIDR), Agentic SOAR workflow level controls, and AgentWorks guardrails secure agent-to-agent and analyst-to-agent collaboration.
Related framework references (5)
HiddenLayerAgent-to-agent communication securitySource checkedLimited public support for this requirement

HiddenLayer claims it protects autonomous and tool-using AI systems from misuse, escalation, and cross-system exploitation.

Protect autonomous and tool-using AI systems from misuse, escalation, and cross-system exploitation.
Related framework references (5)
AurascapeAgent-to-agent communication securitySource checkedLimited public support for this requirement

Aurascape claims 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.
Related framework references (5)
CyberhavenAgent-to-agent communication securitySource checkedLimited public support for this requirement

Cyberhaven claims it discovers and monitors Model Context Protocol (MCP) servers and AI connectors across the enterprise.

Discovers and monitors Model Context Protocol servers and AI connectors across the enterprise, surfacing risk from integrations that operate outside traditional security controls.
Related framework references (5)
KnosticAgent-to-agent communication securitySource checkedLimited public support for this requirement

Knostic claims it secures AI agents, coding assistants, Model Context Protocol (MCP) servers, skills, integrated development environment (IDE) extensions, and rules as associated supply-chain risks.

Knostic discovers and secures AI agents and coding assistants, as well as associated supply chain risks, including MCP servers, skills, IDE extensions, and rules.
Related framework references (5)
Island Enterprise BrowserAgent-to-agent communication securityNo supporting claim found

Island materials reviewed did not provide a public claim for agent-to-agent (A2A), inter-agent communication control, agent trust graphs, mutual TLS (mTLS), or inter-agent authorization.

No quoted source text is recorded for this claim.
Related framework references (5)
AembitAgent-to-agent communication securitySource checkedStrong public support for this requirement

Aembit claims Model Context Protocol (MCP) Authorization enforces policy-based controls over which agents can reach which tools and data.

Aembit secures access between AI agents and MCP (Model Context Protocol) servers, enforcing policy-based controls over which agents can reach which tools and data.
Related framework references (5)
Wiz AI-SPM / Google CloudAgent-to-agent communication securitySource checkedLimited public support for this requirement

Wiz claims discovery of Model Context Protocol (MCP) servers across cloud and software as a service (SaaS) as part of AI model, agent, and service visibility.

Continuously discover AI models, agents, MCP servers, and services across cloud and SaaS.
Related framework references (5)
Varonis AI SecurityAgent-to-agent communication securityNo supporting claim found

Varonis materials reviewed did not provide a public claim for agent-to-agent (A2A), inter-agent communication control, Model Context Protocol (MCP) authorization, agent trust graphs, mutual TLS (mTLS), or inter-agent authorization.

No quoted source text is recorded for this claim.
Related framework references (5)
Pangea / CrowdStrike Falcon AIDRAgent-to-agent communication securitySource checkedRelated public context only

Pangea claims its Model Context Protocol (MCP) server can call guardrail services for malicious prompt checks, redaction, secure audit logging, and IP/domain reputation checks.

With Pangea’s new open-source MCP server, organizations can directly call Pangea AI security guardrail services that check for malicious prompts or prompt injection attempts as well as redact sensitive information, implement secure audit logging, check IP addresses and domains for malicious reputations, and perform WHOIS / geolocation lookups.
Related framework references (5)
F5 AI Security PlatformAgent-to-agent communication securitySource checkedLimited public support for this requirement

F5 claims AI Security Platform secures and governs agent actions and tool calls.

Agent security Secure and govern agent actions and tool calls
Related framework references (5)
Iterate.ai AgentWatchAgent-to-agent communication securitySource checkedRelated public context only

Iterate.ai claims AgentWatch includes an integrated Model Context Protocol (MCP) server for repository indexing, code analysis, and optional security scanning.

Integrated MCP server for repository indexing and code analysis (Tree-sitter), plus optional security scanning (Semgrep, Trivy).
Related framework references (5)
Credo AIAgent-to-agent communication securitySource checkedLimited public support for this requirement

Credo AI claims dependency mapping across agents, models, tools, and data, plus agentic risk coverage for inter-agent risk.

Dependency graph mapping across agents, models, tools, and data
Related framework references (5)
Holistic AIAgent-to-agent communication securitySource checkedStrong public support for this requirement

Holistic AI claims guardrails over agent-to-agent communication, tool use, and decision chains.

enforcing guardrails on agent to agent communication, tool use and decision chains
Related framework references (5)