Practical controls for teams putting LLMs and models into production.
Map attack surface for your AI feature — prompt injection, jailbreaks, tool abuse and data leakage.
Input/output guardrails, context isolation and tool-permission scoping that hold up against real attacks.
Prevent training- and retrieval-data leakage; control what the model can see, store and return.
Least-privilege API keys, tenant isolation and audit logging around your model and vector stores.
Provenance, integrity checks and dependency review for models, weights and inference stacks.
Policies, risk register and evidence aligned to NIST AI RMF and OWASP LLM Top 10 for your reviewers.
Yes. Most AI risk lives in your integration: prompts, tools, data flows and access. We secure the parts you control regardless of which model provider you use.
Absolutely — a pre-launch AI security review is one of our most requested engagements, delivered in 1–2 weeks with a prioritized findings report.
Yes — NIST AI RMF and the OWASP Top 10 for LLM Applications, mapped to your existing security program.
Free 30-minute consultation and a fixed-scope security review quote.