Offensive · CHECK 05
AI Security Testing
Testing LLM-integrated applications the way an attacker would — prompt injection, guardrail bypass, and data leakage.
Overview
Adding an LLM to your product adds a new attack surface most teams haven’t tested before: prompts that manipulate the model into ignoring its instructions, indirect injection through documents or web content the model reads, and boundary escapes in tool-calling or agent permissions.
We test the model integration the same way we’d test any other component — assuming a motivated user will try to make it misbehave, and confirming exactly what it will and won’t do under pressure.
What’s included
- Direct & indirect prompt injection testing
- Guardrail & system-prompt disclosure testing
- Sensitive data leakage checks
- Tool-calling & agent permission boundary testing
root@bytesencrypt: ai-security-testing
$prompt-fuzz --target chatbot-api
> testing indirect injection via document upload
> guardrail bypassed — system prompt disclosed
$test tool-call boundary escape
> unauthorized function call executed
Ready to scope a AI Security Testing engagement?
Tell us your environment and timeline — we’ll come back with a clear plan, not a sales deck.