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AI agent security

Test your AI agents
before someone else does.

Non-disruptive red-team for LLM agents and their tools. We probe prompt injection, tool misuse, data exfiltration and unsafe autonomy — read-only by default, scope-locked, and authorized in writing.

Non-disruptive
Scope-locked
Signed authorization
Read-only by default
What we test

The four ways agents go wrong in production.

Every finding ships with a working transcript: the prompt, the tool trace, the result, and a fix.

Prompt injection

Direct and indirect injection through user input, RAG documents, tool outputs and connected data sources.

Tool misuse & unsafe autonomy

Over-broad tool scopes, missing human-in-the-loop approvals, chained calls reaching beyond intended capability.

Data exfiltration

PII, secrets and internal docs leaked through tool calls, function args, error messages or model output channels.

Jailbreaks & policy bypass

System-prompt leakage, role confusion, refusal bypass, multi-turn coercion against the agent's safety policy.

Non-disruptive by design

Built so you can run it against the real thing.

The testing pipeline enforces the same guardrails as the rest of the platform — at the database layer, not in a checklist.

Read-only probes

No destructive tool calls. No writes you didn't authorize. No spend. No production data mutated.

Allowlisted targets

Every run is scope-locked to an explicit list of agent endpoints. Off-scope calls hard-stop, no exceptions.

Signed authorization

assert_run_authorized blocks any run without a signed authorization document on file — same control that gates Web2/Web3 engagements.

How it works

Three steps. Working transcripts, not advisories.

01
Authorize

You send the agent endpoint, tool list and scope. We countersign and lock it to your tenant.

02
Run the suite

Non-disruptive probes execute against staging or a sandboxed replica. Realtime logs in the operator console.

03
Get the transcript

Every finding lands with the exact prompt, the tool trace, the resulting leak or action, and a concrete fix.

Who it's for

Teams accountable for what an agent does next.

Agent product teams

Shipping a customer-facing copilot or autonomous agent and need evidence its tools are safe before launch.

AI platform owners

Operating an internal agent platform where many teams plug in tools — you need a continuous safety baseline.

Enterprise IT enabling copilots

Rolling out internal assistants with access to docs, tickets and code — and accountable for what they touch.

Compliance & risk owners

Producing evidence for EU AI Act, SOC2 or internal AI governance reviews. Findings come with reproducible artifacts.

Free pilot

Bring your agent. Leave with proof — for free.

Authorize a scope. We run the test on your agent's prompts, tools and integrations. You keep every finding with a compiled PoC. Then decide if you want continuous coverage.

Stop chasing false positives.
Start shipping proof.

Bring us a repo, a commit, or an authorized staging target. We'll come back with compiled, passing exploits — or nothing at all.

Trial requires a card. No charge for 7 days. Cancel anytime.