Cisco AI Defense official materials reviewed did not provide a clear Model Context Protocol (MCP), agent-to-agent (A2A), or agent-to-agent security control claim.
No quoted source text is recorded for this claim.
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 21–40 of 70 evidence records
Clear all filtersMicrosoft Purview AI protection materials reviewed did not provide a clear Model Context Protocol (MCP), agent-to-agent (A2A), or agent-to-agent security control claim.
No quoted source text is recorded for this claim.
Noma claims it can monitor AI and agentic communication in real time and enforce runtime policies.
See all AI and agentic communication as it happens and enforce policies at runtime.
JetStream claims least-privilege authorization travels with workflows across agent hand-offs and keeps behavior inside approved designs.
Least‑privilege, just‑in‑time authorization travels with the workflow across agent hand‑offs, keeping behavior inside the approved design.
Netskope claims Agentic Broker secures autonomous non-human interactions and provides visibility and control for public Model Context Protocol (MCP) servers.
Scale your autonomous AI, and secure autonomous, non-human interactions, with unified visibility and control of public MCP servers.
Singulr Agent Pulse claims real-time enforcement across agents and agentic interactions to safeguard against unauthorized system/tool access, prompt injections, and data leaks.
Real time enforcement across agents and agentic interactions. Safeguard against unauthorized system and tool access, prompt injections, and data leaks.
Prompt Security claims runtime policy controls for Model Context Protocol (MCP) interactions, including allow or block decisions by user, server, and action.
Allow/block by user, server, or action
Cato AI Security claims monitoring every interaction between agents, models, and Model Context Protocol (MCP) servers helps ensure agents operate securely and remain aligned with business needs.
monitor every interaction between agents, models, and MCP servers, to ensure agents operate securely, remain complaint, and align with business needs.
Oasis Security claims policy-controlled agentic access management for agent actions, sessions, and cross-system resource access.
Prompt, Intent, Policy, Session, Action
Grip Security claims visibility into agents, identities, and exposure points, adjacent to agent-to-agent security.
See every agent, identity and exposure point.
WitnessAI claims enforcement for agent deployments at the tool-call and Model Context Protocol (MCP)-server level.
Govern every form of agent deployment, from custom cloud agents to agentic IDEs, with enforcement at the tool call and MCP server level.
Superseded stale absence record for WitnessAI agent-to-agent security.
Govern every form of agent deployment, from custom cloud agents to agentic IDEs, with enforcement at the tool call and MCP server level.
Lasso Security claims AI detection and response coverage for agent threats, including tool-chain manipulation and abnormal AI behavior.
what actions they can perform, what sensitive data can they reach
Harmonic Security claims coverage for agents, skills, Model Context Protocol (MCP), and CLI workflows, including tool calls, scopes, and destructive actions.
Tool calls, scopes, destructive actions.
Reco claims AI-agent risk reduction through mapping cross-app connections, permissions, and automated actions across software as a service (SaaS).
Cross-application connection mappings
Lakera claims AI Agent Security provides visibility into agent usage and Model Context Protocol (MCP)-connected systems, adjacent to agent-to-tool security.
AI Agent Security provides visibility into agent usage and MCP-connected systems across your environment, including agents your teams did not explicitly build or register.
Zenity claims Model Context Protocol (MCP) server and tool-call governance with runtime visibility, policy enforcement, and protection against risky agent activity.
See and Stop Agent Risk at Runtime
Nightfall claims Model Context Protocol (MCP) gateway controls, audit logs, registry scanning, and per-tool policy enforcement for AI-agent workflows.
Every tool call flows through the gateway
LayerX claims AI browser protection for agentic browsers and embedded browser agents against attacks and exploitation.
Protect agentic AI browsers and embedded browser agents
Astrix claims detection and response for out-of-scope AI-agent actions, abnormal activity, and compromised credentials.
abnormal activity, and policy violations