Armorer Labs
Finds and auto-fixes security risks in AI agents for regulated industries, with runtime blocking.
Armorer Labs maps what an AI agent can access, assesses it against real attack scenarios, writes a fix engineers approve, then blocks unsafe actions at runtime with Armorer Guard, a CPU-based guardrail running in under 2ms. It cites its own benchmark results directly: 98.8% vs. its comparison baseline's 95.9% on prompt injection (Jayavibhav), and 94.2% vs. 69.8% on jailbreaking (jackhhao Paper). It maps findings to OWASP, MITRE ATLAS and NIST AI RMF, but says plainly that mapping is 'per finding, not audited.' It's backed by Y Combinator and built by AWS alumni, with site facts dated 2026-09-25.
What holds up
- +Beats its own cited comparison baseline on all 7 benchmarks, e.g. jailbreaking 94.2% vs 69.8%.
- +Runtime guardrail runs in under 2ms on CPU, so it doesn't need a GPU to block unsafe actions.
- +Admits its framework mapping is 'per finding, not audited' — a disclosed limitation.
- +Backed by Y Combinator and built by AWS alumni, with named advisors like Paul Vixie.
Mind the limits
- −Benchmarks are self-reported by Armorer, not run by an independent third party.
- −Framework mapping (OWASP, MITRE ATLAS, NIST) is explicitly not audited, just mapped per finding.
- −No pricing shown — you have to book a meeting to find out what it costs.
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