Insights
Analysis on EU AI Act compliance, cryptographic audit infrastructure, and what tamper-evident AI decision records actually require. No filler. No recycled takes.
Workflow Evidence
Review the evidence behind AI-assisted account recovery: identity checks, policy versions, approvals, reset actions and outcomes, with a practical checklist.
Read guide →Workflow Evidence
Reconstruct an AI incident using decision records, policy versions, approvals and outcomes. A practical evidence checklist for financial-services teams.
Read guide →Regulatory Intelligence
Article 12 requires automatic logging for high-risk AI systems. Most organisations believe their existing logs qualify. Most are wrong. This is what the regulation actually demands and why standard audit trails fail the standard.
Read article →Foundational Concepts
The category is emerging fast. The terminology is still loose. This article defines AI governance evidence infrastructure precisely, what it is, what it is not, and how it differs from logging, monitoring, and compliance dashboards.
Read article →AI Audit Trail
Most organisations have logs. Very few have an audit trail that would survive regulatory scrutiny. The difference is architecture, whether records can prove they have not been altered since the moment they were created.
Read article →Enforcement Deadline
High-risk application dates and a bounded plan for testing decision evidence.
Read article →AI Management Systems
ISO 42001 requires documented, independently verifiable evidence that your AI management system operates as declared. This is not what most organisations' documentation practices currently produce. Here is the gap and how to close it.
Read article →Data Protection
Explanation, access rights and decision evidence, with practical integrity limits.
Read article →Risk Management
The NIST AI RMF's Govern and Measure functions require verifiable evidence of AI system behaviour, not just governance policies. Organisations operating in both US and EU contexts need evidence infrastructure designed to address both frameworks from a single implementation.
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