AI & LLM
AI & LLM Penetration Testing
Prompt injection, jailbreaks, data leakage and RAG poisoning in chatbots, copilots and AI features.
Scoped to your environmentFixed proposalFree retest within 6 monthsNamed operator
What is AI and LLM Penetration Testing? AI and LLM penetration testing is a manual, adversarial assessment of applications built on large language models. It tests the model's prompts, retrieval data, integrations and permissions for weaknesses such as prompt injection, sensitive-data disclosure and unsafe output handling.
What we test
- Direct & indirect prompt injection
- Jailbreaks and guardrail bypass
- System prompt and secret extraction
- RAG poisoning & cross-tenant retrieval
- Unsafe output handling (XSS, SSRF, SQLi via LLM)
- Cost & availability abuse
What you get
- Named operator from kickoff to readout
- Kill Chain Replay™ attack paths with evidence
- Risk-rated findings and remediation guidance
- Framework mapping for your auditor
- Live readout call
- Free retest of all findings within 6 months
AI & LLM Penetration Testing FAQ
How is AI pentesting different from an automated LLM scanner?
Scanners replay known payloads. We chain weaknesses — an injection that triggers a tool call that leaks data — and prove business impact with a replayable attack path.
Do you send our prompts or data to third-party AI services?
No. Our AI-assisted tooling runs on locally hosted inference in an air-gapped posture.
What do we receive at the end?
An executive summary, Kill Chain Replay™ attack paths, risk-rated findings mapped to the relevant frameworks, remediation guidance, a readout call and a free retest of every reported finding within 6 months.