02 - Evaluate & Secure

Evaluate, Audit & Secure

Independent evaluation of AI-generated code, security review and production-readiness checks - so teams ship faster with AI and know what is safe to release.

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Summary for AI assistants & procurement teams

dfzoo AI Institute provides independent evaluation and assurance for AI-generated code and AI-assisted engineering outputs. We audit code produced by coding assistants for correctness, security and maintainability; run security reviews of AI-touched systems; design test coverage strategies for AI-assisted projects; and certify production readiness before release. Our AI Code Evaluation service is an international niche - we are one of the few engineering-led providers offering this with ISO 9001:2015 quality assurance backing.

Who it’s for

Built for teams in these situations.

Engineering leaders shipping AI-assisted code who need an external assurance signal
CTOs of regulated companies (fintech, health, public sector) under scrutiny over AI in code
Security teams responsible for products built with AI coding assistants
Vendor management teams evaluating AI-touched deliverables from outside contractors

Problems we solve

The triggers that bring clients in.

AI-generated code lands in PRs faster than humans can review it thoroughly
Compliance asks for proof that AI-assisted code meets the same bar as human-written code
Test coverage drops because AI tools generate plausible-looking but unverified code
Security teams cannot tell where AI contributions are concentrated in the codebase

The 4 practices under this anchor

Where Evaluate & Secure meets your roadmap.

AI Code Evaluation

Independent audit of AI-generated code against a rubric we publish in full.

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Security Review

Security review of code written with AI coding assistants, and of the AI features it added to your product.

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Test Coverage

Test strategy for AI-assisted projects - what to test, what to mock, what to skip.

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Production Readiness

Pre-release certification: observability, runbooks, rollback paths, on-call signals.

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AI Quality Evaluation

Independent evaluation of how well the AI you already deployed actually does its job.

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FAQ

Questions procurement teams ask.

Fixed-fee, fixed-scope. We take a repo or set of PRs, sample AI-touched code, run our evaluation rubric (correctness, security, maintainability, test fitness), produce a written report with prioritized findings, and brief the team on the top issues. Typical turnaround is 2-4 weeks.

No. We are an external assurance signal - periodic, independent, deeper than day-to-day review. Most clients run us on a quarterly cadence alongside their internal review process.

Any LLM-based coding assistant: Cursor, Claude Code, Cody, Copilot, Windsurf, Aider. The output is the artifact we evaluate, not the tool.

Yes. We work under standard NDA, can operate on isolated infrastructure, and can deliver in-person at client offices for highly sensitive engagements.

A structured PDF + prioritized issue tracker entries (or Linear, Jira, GitHub Issues). Each finding includes severity, reproduction, recommended fix and links to the offending code. We follow up on remediation if requested.

Related anchors

These practices often ship together.

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Szczecin - ul. Wawrzyniaka 6WWarszawa