Your AI works in the demo. We find where it breaks first.
Phixe is an independent AI assurance team. We red-team your AI, evaluate it, and harden it for production — then, if you want, we make it production-real. We ship production AI every day. That's exactly why we know where yours fails.
Why buyers started asking who checked yours
AI shipped faster than anyone could test it. These are the numbers behind the question in your enterprise deal's security review.
Three ways in. One direction.
Start where it hurts. Most teams enter with an assessment — and the report becomes the plan for everything after it.
Find what breaks
A fixed-scope assessment measured in days, not months — because your deal has a date on it.
- AI red-team: prompt injection, jailbreaks, data leakage, tool-use abuse
- Evaluation suite: correctness, hallucination, regression baseline
- Production-readiness audit: auth, tenancy, infra, monitoring
- Mapped to OWASP LLM Top 10 & MITRE ATLAS
Make it real
Take a working prototype or MVP — often AI-built — to fully production-grade.
- Security hardening & failure testing
- Test coverage, evaluation harness, CI
- Infrastructure, monitoring, performance, error handling
- Handover documentation your next engineer can run
Build it right
Full SaaS and AI products, end to end — then kept sharp as models and threats move.
- Product engineering from spec to shipped
- Continuous evaluation & monitoring
- Scheduled re-assessment as the threat surface shifts
- Your stack, your repo, your ownership — always
We build. And we break.
Pure consultants can't build the fix. Product vendors won't do bespoke. The edge is doing both — credibly.
THE BUILDERS
We ship production SaaS and AI systems for paying clients — payments, monitoring, real users, real uptime — agent-driven, Claude & Codex native. When our report says "fix this," we know the fix compiles, deploys, and holds. That's the difference between a finding and a lecture.
THE BREAKERS
We red-team AI the way an attacker actually approaches it: injection chains through tool calls, tenancy bleed through RAG, evals that catch what code review can't. Findings map to OWASP LLM Top 10 and MITRE ATLAS — written so your CTO and your buyer's security team both accept them.
Ten working days, scope to report
Tight scope, fast clock — the assessment is built to move at the speed of your deal.
Scope
60-minute technical call. System map, threat model, access setup. NDA first, always.
Test
Red-team & evals against your staging environment. You see findings as they land — not at the end.
Report
Evidence-backed findings, severity-ranked, with a concrete fix plan your team can run — or we can.
Walkthrough
Findings review with your team. One retest pass after fixes is part of the engagement.
How your code and data are handled
You're hiring a security assessor. Our own posture is the first thing we prove.
ACCESS
Staging over production. Least privilege, time-boxed credentials, revoked at engagement end. Testing runs from isolated environments; nothing leaves your infrastructure without written scope.
EVIDENCE
Every finding carries reproducible evidence — request traces, not screenshots of a vibe. Reports are written to be handed to your enterprise buyer's security team as-is.
PAPER
NDA before scope. Mutual DPA wherever personal data is in play. Insured. A clear statement of work with fixed scope — no meter running, no surprises.
There's a security review between you and your next deal.
Send us your AI product. Within ten working days you'll know exactly what breaks, what passes, and what to fix — in a report your buyer will accept.
Prefer proof first? Read our latest public AI red-team write-up.