Your AI system was built to be helpful. We test whether it can also be exploited. This is not automated scanning — it’s structured adversarial testing by a practitioner who understands both the offensive security methodology and the AI attack surface.
We test for prompt injection, jailbreaking, guardrail bypass, system prompt extraction, data exfiltration through RAG pipelines, tool and API exploitation, and unauthorized access through agentic workflows. If your AI system has a way to be manipulated, we find it.
Any organization that has deployed a language model or AI-powered application in a production environment — customer-facing chatbots, internal knowledge assistants, document processing tools, AI agents with tool access, or any system that accepts user input and passes it to an LLM.
If you built it without red teaming it first, you have a gap. This engagement closes it.
Our approach mirrors traditional penetration testing adapted for the AI attack surface. We begin with reconnaissance: understanding your model, its tools, its data sources, and its guardrails. We then execute systematic testing across five vectors: direct prompt injection, indirect injection through external data sources, tool and API exploitation, data exfiltration, and identity and role manipulation attacks.
Every finding is reproducible. Every attack chain is documented. Nothing gets flagged that we cannot demonstrate.
System prompt extraction revealing internal business logic and instructions. Guardrail bypass allowing generation of restricted or sensitive content. Data exfiltration through RAG system manipulation. Unauthorized tool use and privilege escalation in agentic systems. Indirect prompt injection through external data sources the model trusts. Identity confusion and role manipulation attacks.
A detailed assessment report documenting every vulnerability discovered, with proof-of-concept demonstrations and reproducible attack chains. Risk-scored findings with specific remediation guidance for your development and security teams. An executive summary suitable for leadership and a technical annex for the team responsible for fixing it.
$2,000–$10,000 depending on the complexity of your AI deployment, number of systems in scope, and depth of testing required. Flat-fee pricing, scoped before work begins. Contact us for a free consultation and scoping call.