A Real Audit. Not a Checklist.
Independent AI security audits for your LLM apps, agents, RAG systems and AI workflows — with reproductions, fixes and re-test.
Request an AuditWhat We Audit
LLM Applications
Customer-facing and internal LLM products audited for prompt injection, data leakage, and output abuse.
AI Agents
Tool access, identity propagation, sandboxing, and audit logging assessed against best practice.
RAG Systems
Ingestion, embedding, retrieval and chunk-level access controls reviewed end-to-end.
AI Workflows
Multi-step automations and orchestrations audited for compound failure modes.
Internal AI Tools
Employee-facing AI assistants reviewed for data exposure, abuse and governance gaps.
AI Vendor Stack
Third-party models, APIs, vector stores and plugins assessed for supply-chain risk.
Our Audit Process
Scoping
Identify systems in scope, threat model, and success criteria. Fixed scope, fixed price.
Discovery
Architecture review, data flow mapping, prompt and tool inventory.
Active Testing
Prompt injection, jailbreaks, data exfiltration, tool abuse and access control bypass attempts.
Report
Executive summary, technical findings, severity ratings, reproductions and prioritized remediation roadmap.
Remediation Support
We can implement fixes with your team or hand off the roadmap to internal engineering.
Re-Test
Verify remediations, close findings, and issue a final sign-off report.
Request an AI Security Audit
Fixed-fee audits scoped on a 30-minute call. Re-test included.
Schedule Scoping