Security testing for AI agents
Find your agent’s exploitsbefore attackers do.
Autonomous adversarial agents probe your agent’s tools, permissions, memory and workflows inside a sandbox, and surface the vulnerabilities and unintended behavior before it ships.
One leaked customer record ends the pilot.
Know which agent you’re shipping before it touches production data. A safe agent and an exploitable one look the same in a demo, so we attack the real thing and watch what it does.
Ship The Agent You Meant To Ship.
No Surprises In Production
Find the exploit before a customer or an attacker does. Your real agent, with its own tools, faces injected instructions in the data it reads, in a sandboxed world where nothing real is sent, paid, or deleted.
Evidence Your Security Reviewer Accepts
Every result is read from what actually changed — the tool it called, where data went, what it altered — never from what the agent claimed. Each failure names the action and the evidence behind it. A finding from a run that exercised a sandboxed world and stored its tool calls also carries a one-command replay.
Fix It In The PR That Broke It
Tests re-run on every pull request and compare against your saved baseline, so a regression shows up next to the diff that caused it. Advisory at first; turn on gating when you trust it.
We Try To Break It
Every change, your real agent faces the attacks an adversary would try, with its own tools.
acme-agent ~/src (fix/refund-flow) $ ironhide test
What your security team gets
Walk into the security review with proof.
A verdict per test, with evidence
PASS, FAIL, WARN, or INCONCLUSIVE for every attack, with a plain-language why and the observed evidence: the tool, the destination, the record it touched. Unverified is never counted as a pass.
How results workMapped to OWASP Agentic AI
Every attack class is cross-referenced to the OWASP Top 10 for Agentic Applications, so a reviewer can see which risks your agent was tested against.
See the mappingA history per release
Each run is recorded with its branch, commit, and pull request, compared against your baseline, so you can show how an agent held up release over release.
The CI gateA report to hand over
On Pro and up, export a compliance report for your agent to attach to a security review. It is stamped preview: an honest measurement, not a certification.
PlansGet started
Your first exploit report in minutes.
curl -fsSL https://app.ironhideai.com/install.sh | bashA single-file CLI. Needs Python 3.9+, nothing else: no pip, no root.
ironhide setupSign in with your email, find your agent and the tools it can call, run the first attacks, and save the results as your regression suite.
ironhide linkApprove once in the browser. Ironhide stores its key as a repository secret and opens a pull request (GitHub) or merge request (GitLab) that adds the CI job.