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AI · LLM · Governance

AI security consulting for LLM & model deployments

Shipping an AI feature? We secure the whole path — from prompt-injection and data-exfiltration defense to access control, model supply-chain integrity and governance aligned to the NIST AI RMF and the OWASP Top 10 for LLMs.

Capabilities

Secure AI, end to end

Practical controls for teams putting LLMs and models into production.

LLM Threat Modeling

Map attack surface for your AI feature — prompt injection, jailbreaks, tool abuse and data leakage.

Prompt-Injection Defense

Input/output guardrails, context isolation and tool-permission scoping that hold up against real attacks.

Data Governance

Prevent training- and retrieval-data leakage; control what the model can see, store and return.

Access & Secrets

Least-privilege API keys, tenant isolation and audit logging around your model and vector stores.

Model Supply Chain

Provenance, integrity checks and dependency review for models, weights and inference stacks.

AI Governance & NIST AI RMF

Policies, risk register and evidence aligned to NIST AI RMF and OWASP LLM Top 10 for your reviewers.

FAQ

AI security FAQ

We use a third-party LLM API — do we still need this?

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.

Can you review an AI feature before we launch?

Absolutely — a pre-launch AI security review is one of our most requested engagements, delivered in 1–2 weeks with a prioritized findings report.

Do you align to recognized AI standards?

Yes — NIST AI RMF and the OWASP Top 10 for LLM Applications, mapped to your existing security program.