Security
AgentTrust — Identity & Trust for A2A Agents
Identity, trust, and A2A orchestration for autonomous AI agents. Official A2A partner.
Score breakdown
Evidence history
Review snapshots show why the current score, confidence, and risk labels changed over time.
| Date | Change | Score | Confidence | Risk |
|---|---|---|---|---|
| May 20, 2026 | Initial MCP Rank review captured from the curated seed dataset. MCP Rank completed a deep review on 2026-05-20 using registry metadata, repository/API metadata, package or container provenance where available, capability-surface analysis, and rollout-risk notes. seed snapshot · reviewed | 63 | medium | high |
Evidence notes
Best-fit use cases
Relevant for teams exploring agent identity, human-in-the-loop escalation, and prompt-injection detection around A2A workflows.
Useful as a high-impact review subject because trust-layer claims need unusually explicit evidence.
Risk analysis
High risk is appropriate because identity, trust scoring, escalation, and security controls can affect whether downstream agents accept work.
Low public adoption and a young repository keep confidence at medium even though source and package links exist.
No MCP Rank maintainer verification exists, so claims about identity assurance should be treated as product claims pending independent testing.