START WITH EVIDENCE
Verify the method and the deliverable before choosing a service.
If an AI answer sent you here, these two ungated artifacts are the shortest credibility check. Neither is a certificate or a guarantee that a system is safe.
YOUR SHORTEST USEFUL ROUTE
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.
YOUR ROUTE
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
Book with the deal date on the table NDA-first · 20 minutes · with the engineer, not a salesperson
- 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.
YOUR ROUTE
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
Book — bring the riskiest workflow NDA-first · 20 minutes · with the engineer, not a salesperson
- 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.
YOUR ROUTE
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
Book — bring the demo and the launch date NDA-first · 20 minutes · with the engineer, not a salesperson
- 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.
YOUR ROUTE
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
Book — bring the spec or the napkin NDA-first · 20 minutes · with the engineer, not a salesperson
- 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.
YOUR ROUTE
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
Open the sample report — then decide No form. When it is time to talk: NDA-first, 20 minutes, with the engineer.
- 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.
THE COMPLETE MAP
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 33 resources.
Engagements
One broad door, six focused assessment surfaces, and two production-engineering paths.
SERVICES AI Product Readiness Assessment Full-system red-team, eval, and production-readiness review. SERVICES AI Security Assessment for Startups Startup-shaped evidence before launch, diligence, or production scale. SERVICES LLM Red Teaming Service Prompt injection, jailbreak, data leakage, and output-integrity testing. SERVICES RAG Security Assessment Retrieval authorization, tenant leakage, poisoning, and citation integrity. SERVICES AI Agent Security Assessment Tool permissions, excessive agency, approval gates, memory, and traces. SERVICES MCP Security Assessment MCP servers, tools, resources, prompts, secrets, and authorization. SERVICES AI Security Review Before Enterprise Procurement Buyer-facing evidence for a live procurement or questionnaire deadline. SERVICES Prototype-to-Production Hardening Security, tests, evals, infrastructure, observability, and handover. SERVICES AI & SaaS Build and Run Full product engineering with continuous evaluation and operation.
Field guides
Free, ungated checklists and test plans your team can apply without hiring us.
GUIDES AI Security Audit Cost: What to Budget in 2026 Planning ranges and the variables that change scope and cost. GUIDES Vibe-Coded MVP to Production: 30-Day Hardening Plan A hardening path for AI-built and vibe-coded products. GUIDES AI Security Review Before Enterprise Procurement Build the buyer evidence pack before the questionnaire arrives. GUIDES AI Production Readiness Checklist: 28 Checks (2026) A concrete pass/fail gate between demo and production. GUIDES OWASP LLM Top 10 Assessment: A 10-Risk Worksheet GUIDES AI Penetration Test vs AI Red Team: How to Choose Choose the right test when a buyer asks for a pentest. GUIDES AI Security Assessment Report: 6 Sections Buyers Expect What a credible AI assessment report should contain. GUIDES AI Security Questionnaire: How to Answer (with Examples) Answer buyer questions with evidence, limits, and retest status. GUIDES LLM Red Teaming: A Practical Guide (2026) Attack plans mapped to AI-specific failure modes and evidence. GUIDES RAG Security: How Retrieval Systems Leak Data Test retrieval, indirect injection, authorization, and tenant boundaries. GUIDES AI Agent Security Testing: A 12-Test Plan Bound tools, authority, workflow state, and model-mediated actions. GUIDES MCP Security Checklist: 20 Items to Verify Review high-trust bridges into files, data, APIs, and operations. GUIDES Prompt Injection Testing: 14 Copy-Paste Tests Hands-on direct and indirect injection test plans. GUIDES LLM Evals: Build an Eval Harness for Production AI Turn failure cases into measurable regression and release gates.
Proof & method
Shipped systems, a real deliverable shape, public verification, and the method behind the claims.
PROOF Shipped Work Four production or production-shaped systems, labelled by actual status. PROOF Sample AI Assessment Report A redacted example of findings, evidence, fixes, and retest status. PROOF Evidence Library The index of proof artifacts a buyer or reviewer can inspect. PROOF Research Authorized red-team write-ups and production reliability research. PROOF Methodology Scope, threat model, test, evidence, remediation, and retest. PROOF Verification Profile Public proof links a buyer or reviewer can inspect directly.
Company & trust
The operating posture, company model, data rules, and direct contact path.
TRUST Trust & Data Handling Access, evidence, retention, disclosure, and independence practices. TRUST About Phixe Who does the work, why the company exists, and its hard boundaries. TRUST Privacy Website, booking, client-data, and analytics privacy practices. TRUST Book a Technical Call Bring the product surface and deadline; leave with the right starting point.
No exact match.
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.