AI Pentesting for LLM-Powered Apps
Prompt injection, jailbreak, agent abuse, training data leakage. The new attack surface.
If your app uses an LLM, you have a new attack surface that didn't exist three years ago. Prompt injection, jailbreak, indirect prompt injection via untrusted content, agent privilege escalation, and training-data extraction. We test for all of it.
From $300
The problem
Traditional pentesting doesn't cover LLM-specific issues. OWASP's LLM Top 10 lists threats that most security firms still don't have a methodology for. Your AI feature is a different beast — it needs different testing.
How we work
We map your LLM integration: what context does it have access to, what tools can it call, what data does it process, what does it output. Then we attack each surface with prompt injection variants, indirect injection via documents and emails, and agent abuse scenarios.
What's included
- Direct prompt injection testing
- Indirect prompt injection via untrusted content (docs, emails, web pages)
- Jailbreak resistance evaluation
- Agent tool-call privilege testing
- Training data and system prompt extraction
- Output validation review
Who this is for
- App uses an LLM with access to user data
- Agent has tools it can call (read files, send email, etc.)
- RAG application with user-uploaded content
Tool-specific security reviews
We've audited enough apps on the major AI builders to know their default failure modes. Pick your stack:
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Frequently asked questions
- What is indirect prompt injection?
- When an attacker hides instructions inside content the LLM will read — a document, email, web page, or Slack message. The LLM treats those instructions as if they came from the user. Snyk Labs and Aim Labs have demonstrated this pattern leading to RCE in IDE agents.
- Do I need this if I'm just calling OpenAI's API?
- If user input ever reaches the prompt or the LLM has access to user data, yes. The risk scales with how much your app trusts the LLM's output.
Ready to get started?
Tell us about your project. Fixed quote within 24 hours.