Offensive security
AI/ML Security Testing
Adversarial testing of models and LLM pipelines for prompt injection, poisoning, and data leakage.
Security testing
In plain terms Testing
What this is
Adversarial testing of models and LLM pipelines for prompt injection, poisoning, and data leakage.
Why it can hurt you
An LLM feature that concatenates user input into a system prompt is one crafted message away from leaking your instructions or your data.
Security testing
Why it matters to you Testing
The problem
An LLM feature that concatenates user input into a system prompt is one crafted message away from leaking your instructions or your data.
Ahead of a fast-moving threat class
Test against attack patterns that postdate most security training.
Deployment confidence
Ship AI features without the system prompt ending up on Twitter.
Security testing
How we do it Testing
Prompt injection testing
Direct and indirect injection attempts across every model-facing input.
Data leakage testing
Attempts to extract training data, system prompts, or other users’ context.
Pipeline & plugin review
RAG sources, tool integrations, and agent permissions tested for abuse paths.
Security testing
What we typically find Testing
Prompt injection
User-controlled input able to override system instructions.
Training/context data leakage
Model coaxed into revealing sensitive training or session data.
Insecure plugin/tool access
Agent tools invokable beyond their intended scope.
No scanner dump. A fixed problem.
Every finding is reproduced by hand and comes with a working proof of concept.
Security testing
What lands on your desk Testing
Adversarial test report
Attack transcripts and findings mapped to OWASP LLM Top 10.
Mitigation guidance
Guardrail and prompt-architecture recommendations.
Security testing
What you get out of it Testing
Ahead of a fast-moving threat class
Test against attack patterns that postdate most security training.
Deployment confidence
Ship AI features without the system prompt ending up on Twitter.
Security testing
Step by step Testing
1. Prompt injection testing
Direct and indirect injection attempts across every model-facing input.
2. Data leakage testing
Attempts to extract training data, system prompts, or other users’ context.
3. Pipeline & plugin review
RAG sources, tool integrations, and agent permissions tested for abuse paths.
Find out what we would find.
A scoping call is thirty minutes, costs nothing, and ends with a fixed price and a date. If we are not the right people for the job, we will tell you that too.