Compliance Verification - Evidence, Not Checklists
Pick your framework. Cortex maps your system to the actual regulation and checks each requirement against a source - structured evidence you can hand an auditor, not a policy document and not a chatbot guess.
Frameworks we verify
- EU AI Act compliance - high-risk AI obligations, Articles 9-17, deadline 2 Aug 2026
- DORA compliance - ICT third-party / vendor risk, Articles 28-30
- NIS2 compliance - cybersecurity risk-management + incident reporting
- ISO 42001 compliance - certifiable AI management system
- NIST AI RMF compliance - GOVERN / MAP / MEASURE / MANAGE baseline
- ISO 27001 compliance - information security management system (ISMS)
- SOC 2 compliance - Trust Services Criteria attestation report
- GDPR compliance - EU personal-data processing, 72-hour breach reporting
- HIPAA compliance - US health data, Security & Privacy Rules for PHI
- PCI DSS compliance - cardholder data, 12 requirements, v4.0
- CMMC compliance - DoD contractors, CUI/FCI, Levels 1-3
- FedRAMP compliance - cloud for US federal agencies, NIST 800-53
Evidence, not policy documents - what an auditor accepts
A binder of policy PDFs is not evidence, and a ChatGPT answer saying you look compliant is certainly not evidence. Evidence is a claim, checked against a real source, with the source attached. Cortex produces a per-requirement table - requirement, status, source - you can defend line by line.
How Cortex verifies - code is the judge, not the model
Cortex does not ask an LLM whether you are compliant. The model gathers; code decides. Every claim is gated against its source text - no source, no VERIFIED stamp - and returns tagged VERIFIED / PARTIALLY_VERIFIED / UNVERIFIED / GAP.
Why not ChatGPT or a checklist suite
ChatGPT answers from old memory and cannot cite the live regulation. A checklist suite gives you a to-do list, not proof a requirement is met. Cortex checks each requirement against sources and stamps the status - the thing an auditor accepts.
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