Adversarial testing for LLM-powered products — prompt injection, RAG poisoning, agent abuse, and model API authorization — mapped to the OWASP LLM Top 10 and NIST AI RMF. This is our differentiated wedge.
Standard pentesting stops at your application. AI products add a whole new attack surface at the model layer — and enterprise buyers are starting to require evidence that you've tested it.
Prompt injection (LLM01), insecure output handling, training-data poisoning, model denial of service, sensitive information disclosure, excessive agency, and more — the canonical framework for LLM risk.
Before launch, and after any major model swap, prompt change, or new tool/agent capability — each materially changes the attack surface.
LLM-powered SaaS, RAG products, and autonomous agents — especially when an enterprise prospect asks you to prove the AI is safe.
5–7 days · from $15,000 · retests for HIGH and CRITICAL findings included.
We test the AI itself — not just the app around it. Prompt injection, RAG, and agent abuse are first-class, not an afterthought bolted onto a web pentest.
Findings reference the OWASP LLM Top 10 and NIST AI RMF — the standards your enterprise prospects and their security teams already know.
We build Hoot, our own AI security agent. We understand how these systems break because we build and break them ourselves.
Final scope depends on the number of models and endpoints, whether agents/tools are in scope, and the complexity of your RAG pipeline. We set final scope and price on a 30-minute call — no obligation.
A normal pentest targets your application and infrastructure. AI red teaming targets the model layer — prompt injection, RAG poisoning, agent tool abuse, and model API authorization. If you ship an LLM, RAG, or agent product, you need both.
Yes. We test RAG poisoning and indirect injection through retrieved content, and agent abuse including tool confused-deputy, sandbox escape, and excessive agency.
The OWASP LLM Top 10 (LLM01–LLM10) and the NIST AI Risk Management Framework — the standards enterprise security teams recognize.
Before launch, and again after any major model change, prompt change, or new agent capability — each one reshapes the attack surface. Engagements start at $15,000.
Book a 30-minute scoping call. We'll confirm scope, timeline, and price — and how the report maps to your AI Red Teaming requirements.
Book a scoping call