AI Quality Framework
Software Quality and Regulatory Assessment
Check software quality. Understand your regulatory gaps.
AI Quality Framework brings software quality checks and legal and regulatory assessment into one review. Use it for AI-generated or hand-written code: understand what was checked, which issues need attention and what evidence is still missing before release.
Ask about AI Quality FrameworkWhat AI Quality Framework helps you do
Assess software quality
Combine stack-specific linters with checks for type safety, resilience, security, privacy, supply-chain risks and common AI-generation failures. Findings identify the rule and severity so reviewers can decide what to address.
Map findings to legal obligations
Use your region and software context to assess relevance to GDPR, the EU AI Act, the Cyber Resilience Act, NIS2, DORA and other supported frameworks. Reports link findings to specific obligations and distinguish missing evidence from questions that still need review.
Get advice and organise evidence
Work from prioritised remediation advice that connects a proposed fix to the obligations it addresses. Evidence checklists explain how to assess organisational controls and what records to keep when a code scan cannot establish the answer.
How it fits your work
Define the context
Choose the technology stack, region and standards. Record the facts that determine which requirements apply to the software.
Assess and review
Run the checks locally or in CI. Review findings in context, including possible false positives, before deciding on remediation.
Close the gaps
Apply the agreed fixes, collect the supporting evidence and assess again. Use reports and checklists to guide the next review.
Languages, standards and reports
Assess Go, Java, Python, Node.js/TypeScript, .NET, PHP and Apex. Run an assessment at a desk or use a quality gate in CI.
- Supported standards include BIO2, OWASP ASVS, NIST SSDF, SLSA, SOC 2 criteria and Dutch government API Design Rules.
- Available outputs include PDF, YAML and SARIF, with regulatory evidence and review checklists. Detailed findings and reports require a licence.
- Applicability follows the context you provide. Reports support compliance review; they do not certify legal compliance.
Discuss AI Quality Framework
Tell us about your software stack, where it is used and the legal frameworks or standards you need to assess.
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