AI PENETRATION TESTING
AI penetration testing for LLM apps and agents
We test your chatbots, copilots and AI agents for prompt injection and data leaks.
Prompt injectionData leakageOWASP LLM Top 10
What is AI penetration testing?
AI penetration testing is a security test of applications built on large language models (LLMs). Testers try prompt injection, jailbreaks, sensitive data leakage, insecure output handling and abuse of connected tools or agents, mapped to the OWASP Top 10 for LLM Applications, and show how to fix each issue.
AI features add new attack paths.
An LLM can be tricked into leaking data or running actions. We test it before attackers do.
What we cover
Direct and indirect prompt injection
System prompt and data leakage
Insecure output handling
Agent and tool abuse
RAG and vector store exposure
How it works
01
Scope
App, model, data and tools.
02
Model threats
Map AI-specific risks.
03
Attack
Manual and automated prompts.
04
Report
Findings, proof and fixes.
05
Re-test
Verify fixes.
What you get
✓
Report mapped to OWASP LLM Top 10✓
Prompt and response evidence✓
Guardrail and design fixes✓
Re-test reportWho needs it?
✓
Companies launching chatbots or copilots
✓
SaaS products with AI features
✓
Teams using RAG on internal data
✓
Firms preparing for ISO 42001
Why HostX
AI + AppSec
We test the app and the model layer.
Real attacks
Current injection techniques.
Practical fixes
For prompts, code and design.
Frequently asked questions
It is when crafted input makes an LLM ignore its instructions, leak data or take unwanted actions.