What needs to move?
Pick the outcome, not the technology. No form and no gate: each route starts with one useful page, then adds only the proof and guidance needed to make a decision.
An enterprise deal is waiting on security evidence
You have a buyer, a questionnaire, or a review date. This route gets you from the commercial blocker to a buyer-ready evidence pack without wandering through every technical page first.
- A security questionnaire just arrived
- Procurement wants independent AI evidence
- The deal has a review or signature date
- 01 Start here · Service AI Security Review Before Enterprise Procurement See the fixed-scope engagement built around the buyer deadline.
- 02 Prepare · Guide AI Security Questionnaire Map the questions your buyer is likely to ask and the proof behind each answer.
- 03 Inspect the output · Proof Sample AI Assessment Report See the shape of the evidence, findings, remediation, and retest record.
- 04 Verify handling · Trust Trust & Data Handling Review access, confidentiality, evidence retention, and the independence rule.
You need to know where the AI system breaks
Start broad, then narrow the test surface only when the architecture calls for it. This route connects the full readiness review to the specialist LLM, RAG, agent, and MCP assessments.
- The AI feature is moving toward production
- You need a real red-team and eval baseline
- Prompt, retrieval, tools, or tenancy are high-risk
- 01 Start here · Service AI Product Readiness Assessment Test the complete product across AI behavior, evals, auth, tenancy, and production controls.
- 02 Choose the surface · Services Focused AI Security Assessments Go narrower when the urgent surface is LLM, RAG, agent, or MCP security.
- 03 See the method · Method How We Test Trace the work from threat model through reproducible finding and retest.
- 04 See it shipped · Proof Production Work Inspect the systems and evidence that make the assessment claims credible.
The prototype works, but it is not ready for real customers
Use this route when the gap is no longer the demo. It moves from the hardening engagement to the checklist, field guide, and shipped examples that show what production-ready means.
- An AI-built or vibe-coded MVP needs a real foundation
- Auth, tenancy, tests, or observability are thin
- A customer launch is exposing demo shortcuts
- 01 Start here · Service Prototype-to-Production Hardening Turn a working prototype into secure, tested, observable production software.
- 02 Map the gaps · Guide AI Production Readiness Checklist Run the pass/fail gate across system boundaries, evals, operations, and rollback.
- 03 Use the playbook · Guide Vibe-Coded MVP to Production Follow the practical hardening path from ownership and auth through deployment.
- 04 Compare with reality · Proof Shipped Work See insecure prototypes become hardened, multi-tenant production systems.
The product does not exist yet — and it cannot launch half-built
This route is for a net-new AI or SaaS product, or an assessed system that needs a long-term engineering owner. It makes the operating model and assurance boundary explicit before a call.
- The product needs to go from spec to production
- AI evaluation must exist from the first release
- You want the code, stack, and ownership to stay yours
- 01 Start here · Service AI & SaaS Build and Run See the end-to-end product engineering and continuous assurance engagement.
- 02 Inspect precedent · Proof Production Work Review live systems across payments, multi-tenancy, AI, mobile, and operations.
- 03 Inspect the AI bar · Guide LLM Evals See how failure cases become release gates instead of post-launch surprises.
- 04 Check the boundary · Method The Independence Rule Understand why a Phixe-built system is independently re-verified.
You want evidence before you talk to anyone
Good. This route skips the sales language and starts with what was shipped, how findings are reported, how claims can be verified, and how the work is performed.
- You do not want a generic agency pitch
- You need to evaluate technical credibility
- A colleague or security reviewer needs links to inspect
- 01 Start here · Proof Shipped, Not Claimed Read the production case studies and the precise claims each system supports.
- 02 Open the artifact · Proof Sample AI Assessment Report Inspect the deliverable rather than taking the service description on faith.
- 03 Verify the claims · Trust Phixe Verification Profile Use the public proof links for identity, posture, methods, and artifacts.
- 04 Audit the method · Method Methodology See how a test becomes a reproducible finding, fix, and retest record.
Showing the route for: Clear an enterprise review.
Explore everything Phixe has
Use the guided route above when speed matters. Use this map when you want to inspect the full service, evidence, and knowledge surface.
Showing all 32 resources.
Engagements
One broad door, six focused assessment surfaces, and two production-engineering paths.
Field guides
Free, ungated checklists and test plans your team can apply without hiring us.
Proof & method
Shipped systems, a real deliverable shape, public verification, and the method behind the claims.
Company & trust
The operating posture, company model, data rules, and direct contact path.
Try a broader term, or clear the search to see the complete map.
Bring the system and the deadline.
A short technical call is enough to choose the right surface. If there is no fit, we will say so.