LLM Security and Red Teaming Consulting

LLM red teaming consulting is a security engagement that threat-models your language-model system, attacks it with jailbreaks, prompt injection, data-leakage probes, and tool abuse, then turns failures into eval cases and runtime controls. Work runs in your staging environment. You own the IP. Zero-retention, no shared training, SOC 2-aligned. Four weeks is standard; financial-services programs typically take 8–12 weeks.

Direct jailbreaks, indirect prompt injection via retrieved documents, data exfiltration from the corpus and from tools, unauthorized tool calls, and multi-turn policy bypass. Content-only persona attacks are last, not first. If the agent can write to a system of record, that write path is in scope. Coverage is a taxonomy with parameterized payloads, not one clever prompt in a slide.

A classic pentest hits auth, injection in HTTP, and misconfigured clouds. LLM red teaming hits the model’s instruction boundary, the retrieval corpus, and the tools the model may call. You need both. We do not replace your existing application security program. We add the attack classes that appear only when an LLM is in the request path.

Yes. A closed finding that is not a golden-set case will reopen on the next prompt tweak. We absorb failing attacks into CI gates with reconstructable traces. Rubric judges score security properties where deterministic checks are not enough. That loop is the product; the PDF report is the index of what landed.

No. Red-team traffic runs against a staging agent with the same tools and corpus as production, minus live writes, on allowlisted test accounts. Production is for online eval sampling under your change process, not for novel exploits. If a finding requires a production-like write, we use a sandboxed twin.

Treat retrieved text as data, not instructions. We test indirect injection in documents, tickets, and emails the retriever will surface. Fixes are allowlisted tools, instruction hierarchy, dual-LLM or classifier filters, and eval cases — not a longer system prompt. Reconstructable traces show which chunk carried the payload.

You do. Attack suites, severity rubrics, traces, and control diffs are client IP in your repositories. We do not retain payloads after the engagement and we do not use them to train shared models. Work runs in the client cloud under a SOC 2-aligned, zero-retention process.

Four weeks is the standard path: threat model, automated suite, manual probes, fix loop, CI absorption, handover. Scope is one agent or one product surface. Financial-services reviews with second-line evidence typically take 8–12 weeks. A one-week “jailbreak demo” is not this service and will not survive the next model swap.