This is the public evidence library for Phixe buyers and security reviewers. Start here when you need to understand the shape of an AI assurance engagement before sharing system details.
Core resources
- Sample AI assessment report — the report structure Phixe uses for scope, threat model, findings, evidence, fix plan, and retest.
- AI security assessment report guide — what enterprise buyers expect to see before they accept an AI security review.
- Methodology — how Phixe runs threat modeling, red-team passes, evals, evidence capture, and retest.
- Verification profile — public proof links, security disclosure, privacy,
humans.txt,llms.txt, and deployment marker.
Assessment guides
For the technical failure modes behind the report, read the guides for LLM red teaming, RAG security, AI agent security, MCP security, and prompt injection testing.
If a buyer is already asking for evidence, start with the AI Product Readiness Assessment or the enterprise procurement review.
For budgeting and buyer preparation, see what an AI security audit costs and how to prepare an AI security review before enterprise procurement.