Offensive
Specialized & Emerging

AI & LLM Red Teaming

Break your AI before the internet does.

What you get  Protect your AI models and assistants from manipulation and data leakage.

AI & LLM Red Teaming
4Deliverables
4Engagement phases
2Mapped standards
Retest included

The service

Every AI feature you ship opens a new attack surface. We attack it: direct and indirect prompt injection, jailbreaks, RAG poisoning, and tool and agent abuse, all mapped to the OWASP LLM Top 10 and MITRE ATLAS.

When do you need it?

If you’re integrating chatbots, copilots, RAG, or agents that take actions on a user’s behalf.

What’s included

Findings mapped to the OWASP LLM Top 10
Jailbreak and injection proofs of concept
Guardrail bypass narrative
Recommendations for secure deployment and monitoring

Coverage

Direct and indirect prompt injection
Jailbreaks and guardrail bypass
RAG and context poisoning
Tool and agent abuse
Data and system prompt leakage

Standards & frameworks

OWASP LLM Top 10MITRE ATLAS

How we work

01

AI Attack Surface Mapping

We identify every point where your AI feature takes input and takes action: chatbot, RAG, tools, and agents, with a focus on the OWASP LLM Top 10 and MITRE ATLAS.

Ready to get started?

We define scope and objectives on a short, no-obligation call. You receive a proposal tailored to your organization.

Pillar
Offensive
Area
Specialized & Emerging
Deliverables
4
Closeout
Retest included

We respond within one business day.

Frequently asked questions

They complement each other. A pentest covers the HTTP and API layer around it; here we attack the model itself: prompt injection, jailbreaks, RAG, and agents, mapped to the OWASP LLM Top 10 and MITRE ATLAS.