Practical writing on AI governance, compliance automation, and behavioural drift across EU AI Act, ISO 42001, ISO 27001, NIST AI RMF, and more.
AI systems drift. Every framework punishes it. Configure MLflow experiment tracking and Datadog monitoring to catch model drift continuously and generate compliance evidence across EU AI Act, ISO 42001, NIST AI RMF, and SOC 2.
EngineeringYour code has unit tests. Your infrastructure has Terraform. But your AI governance still runs on Word documents and annual audits. Rules-as-Code changes that, and it changes everything about how compliance works.
EngineeringHow to structure GitHub pull requests, branches, commits, code reviews, and Actions to generate compliance evidence automatically across EU AI Act, ISO 42001, ISO 27001, and SOC 2.
EngineeringHow to structure Confluence spaces and Jira projects to maintain compliance documentation continuously: space structure, page templates, label conventions, and the evidence chain across multiple frameworks.
ComplianceEvery AI compliance framework requires risk management. EU AI Act Article 9, ISO 42001 Clause 6.1, NIST AI RMF Map, ISO 14971 for medical devices. The same continuous approach satisfies them all.
ComplianceDocumentation requirements overlap massively across frameworks. EU AI Act Annex IV, ISO 42001 Clause 7.5, ISO 13485 design history files, SOC 2 controls. Write once, satisfy many.
ComplianceImpact assessments are required by every major framework: EU AI Act FRIA, GDPR DPIA, ISO 42001 Annex B, NIST AI RMF Map, and ISO 14971 risk analysis. One structured approach satisfies them all.
Sales & GTMAI startups are losing enterprise contracts not because of the product, but because they cannot produce verifiable proof their AI is safe, auditable, and in compliance. Here is how to fix it.
Start free. Our team will map Vigilens to your system and show you exactly what your compliance gaps look like.
Start Free →