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AI agent security for regulated industries

Prioritization is dead. If it’s an agent risk Armorer fixes it.

Control and govern AI Agents. Assess risk and fight AI-enabled attacks. Auto-remediate at machine speed.

Book a meetingHow it works

Most tools stop at findings. Armorer verifies fixes.

  1. 01 Detect

    Know what your agents can reach.

    Armorer maps each agent's access to data, tools and systems, and shows where it is exposed.

    3 of 7 parts exposed

  2. 02 Assess

    Real risks, not theoretical ones.

    Armorer assesses each agent against real-world threats and shows exactly what it could be made to do.

    Confidential figures sent outside.

  3. 03 Fix

    Fixed without interrupting the business.

    Armorer writes the fix and checks it against your real workflows. Your engineers approve it.

    Risk closed. Workflows unchanged.

  4. 04 Protect

    Unsafe actions blocked before they run.

    Armorer Guard, our runtime protection, checks every action and blocks the unsafe ones. Available now.

    Attack blocked. Work still runs.

Armorer leads on several public benchmarks.

  • Lightweight
  • Under 2 ms
  • CPU-based guardrail
Share of attacks caught with at most 1% false positives; Gretel PII is an F1 score; the JEV row is accuracy in a live head-to-head run.
Benchmark results
BenchmarkArmorer modelsBest other detector we tested
Jayavibhav Injection inside prose and code98.8%95.9%
deepset Multilingual prompt injection86.7%81.7%
S-Labs Prompt extraction96.3%93.3%
xTRam1 Confidential-data demands98.9%98.3%
jackhhao Paper Jailbreaking94.2%69.8%
Gretel PII (F1) National ID numbers67.3%54.1%
Armorer vs JEV Accuracy, head to head98.0%80.0%

Risks mapped to the frameworks you report on.

Mapped per finding, not audited.

The problem I have with most security solutions is they come along and give me another problem to go and fix. You've actually solved the problem.

Gaetan LicciDirector of EngineeringJust Eat Takeaway.com

If modern AI were a powerful car, then Agentic AI would be a powerful self driving car whose decisions and outcomes could not be fully predicted in advance. We can't make Agentic AI safe using detailed lists of what can and cannot be done, which is why Armorer Labs is working in terms of verifiable generalities. I'm happy to be one of Armorer's advisors and investors.

Paul VixieInternet Pioneer, inducted into the Internet Hall of Fame in 2014Advisor and Investor

Backed by Y Combinator. Built by AWS alumni.

Read more about the founders

Guides and research for securing AI agents.

Read the blog

Stop collecting findings. Start closing them.

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