Prouvez que vos agents IA résistent aux attaques
avec des preuves validées par exploitation.
Notre infrastructure autonome de validation offensive, désormais produitisée en flux de validation sûrs pour le client. Nous sondons l'injection de prompts, le mauvais usage d'outils, l'exfiltration de données et l'autonomie non sûre sur les agents LLM et leurs outils — en lecture seule par défaut, périmètre verrouillé, autorisés par écrit, chaque constat étayé par une preuve reproductible et non par des heuristiques de scanner.
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.
Direct and indirect injection through user input, RAG documents, tool outputs and connected data sources.
Over-broad tool scopes, missing human-in-the-loop approvals, chained calls reaching beyond intended capability.
PII, secrets and internal docs leaked through tool calls, function args, error messages or model output channels.
System-prompt leakage, role confusion, refusal bypass, multi-turn coercion against the agent's safety policy.
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.
No destructive tool calls. No writes you didn't authorize. No spend. No production data mutated.
Every run is scope-locked to an explicit list of agent endpoints. Off-scope calls hard-stop, no exceptions.
assert_run_authorized blocks any run without a signed authorization document on file — same control that gates Web2/Web3 engagements.
Three steps. Working transcripts, not advisories.
You send the agent endpoint, tool list and scope. We countersign and lock it to your tenant.
Non-disruptive probes execute against staging or a sandboxed replica. Realtime logs in the operator console.
Every finding lands with the exact prompt, the tool trace, the resulting leak or action, and a concrete fix.
Teams accountable for what an agent does next.
Shipping a customer-facing copilot or autonomous agent and need evidence its tools are safe before launch.
Operating an internal agent platform where many teams plug in tools — you need a continuous safety baseline.
Rolling out internal assistants with access to docs, tickets and code — and accountable for what they touch.
Producing evidence for EU AI Act, SOC2 or internal AI governance reviews. Findings come with reproducible artifacts.
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.
Cessez de traquer les faux positifs.
Commencez à livrer des preuves.
Fournissez un repo, un commit ou une cible. Nous reviendrons avec des exploits compilés et passants — ou rien du tout.
L'essai nécessite une carte. Gratuit 7 jours. Annulation flexible.