LLM / AI red team

Attack your AI before someone else does.

Agents, RAG systems, MCP servers, and tool-using workflows have an attack surface most pentests miss. We test prompt injection, tool abuse, and data-exfiltration paths across it, and our AI security researcher hunts for novel weaknesses unique to your system, not just the known classes.

What we test

The AI attack surface.

Prompt injection & jailbreaks

Getting the model to ignore its rules or leak its instructions.

Tool & agent abuse

Talking an agent into misusing the tools it can call.

Privilege escalation

Agents acquiring actions or access they shouldn’t have.

RAG & data exposure

Coaxing the system into revealing data it retrieved.

MCP & integrations

The connection points where AI touches real systems.

Guardrail bypass

Probing whether your safety controls actually hold.

Pricing: Delivered within a Continuous engagement (from $2,000/wk) or scoped as a fixed engagement. Book a call. Pairs with Operative’s secure AI build so the same team can build, attack, and harden.
FAQ

Common questions.

What does an AI red team engagement cover?

Prompt injection and jailbreaks, tool and agent abuse, privilege and action escalation, RAG and data-exposure paths, and the integration points where an agent touches systems it shouldn’t. We test the AI surface the way an attacker actually would.

How is it priced?

Delivered within a Continuous engagement (from $2,000/wk) or scoped as a fixed engagement. Book a call. An AI red team is scoped to the complexity of your agents, tools, and data access. Continuous retainers and the fixed-fee Audit Security Test have published prices on the pricing page.

We’re building agents. Can you test those specifically?

Yes. Tool-using agents, RAG systems, and MCP servers are exactly the surface we focus on: can the agent be talked into misusing a tool, exfiltrating data, or escalating its own permissions.

Pressure-test your AI.

Tell us what your agents can do and what data they touch, and we’ll scope a red team.