Regulation deep-dives
AI governance & regulation blog
Weekly expert analysis of EU AI Act articles, NIST AI RMF subcategories, and ISO/IEC 42001 clauses — written for compliance officers, not marketers.
Featured analysis
Compliance-as-Record: Why the Quarter-End Binder Is Dead
Compliance is a record of how your AI runs, not a document you assemble at quarter-end. Why the binder model fails for AI systems and what replaces it.
Securing the Model Context Protocol: A Governance Layer for MCP
MCP standardizes how AI agents reach tools and data. It doesn't decide what they're allowed to do. Here's why a managed gateway belongs in the call path.
The EU AI Act Compliance Countdown: Key Deadlines and What to Have Ready
A verified EU AI Act deadline map through 2028, including the May 2026 Digital Omnibus delay for high-risk systems, and the evidence enterprise teams should have ready for each milestone.
Compliance-as-Record: Why the Quarter-End Binder Is Dead
Compliance is a record of how your AI runs, not a document you assemble at quarter-end. Why the binder model fails for AI systems and what replaces it.
Securing the Model Context Protocol: A Governance Layer for MCP
MCP standardizes how AI agents reach tools and data. It doesn't decide what they're allowed to do. Here's why a managed gateway belongs in the call path.
Credential Brokering for AI Agents: Keep Raw Keys Out of the Model
An AI agent holding a long-lived API key is a standing breach waiting to happen. Credential brokering issues short-lived, scoped tokens so the raw key never leaks.
The EU AI Act Compliance Countdown: Key Deadlines and What to Have Ready
A verified EU AI Act deadline map through 2028, including the May 2026 Digital Omnibus delay for high-risk systems, and the evidence enterprise teams should have ready for each milestone.
Sandboxing Tool Execution: Deny-by-Default for Agentic AI
Agent tool calls run real code against real systems. Sandboxing with deny-by-default egress, hard timeouts, runtime DLP, and injection defense contains the blast radius.
Tamper-Evident Audit Logs Explained (for Non-Cryptographers)
What makes an audit log tamper-evident? SHA-256 hash-chains and WORM storage in plain English, and why they matter for proving how your AI agents actually ran.
Non-Human Identities (NHI): Treating Agents as First-Class Principals
AI agents act on your systems but rarely have their own identity. Here's why non-human identities need scoped principals, policy lanes, and per-agent audit trails.
Agents Are Getting Hands: Who Governs What They Touch?
AI agents now take actions, not just generate text. Here's how to govern the tools, credentials, and systems they touch before something breaks in production.
What Auditors Actually Ask For — And How to Already Have It
The questions auditors really ask about AI systems, why they trip up most programs, and how to make audit readiness a by-product of operating instead of a fire drill.
NIST AI RMF vs. the EU AI Act: Where They Overlap and Where They Don't
NIST AI RMF is a voluntary framework; the EU AI Act is binding law with deadlines and fines. Here is a side-by-side for teams running both at once.
One Control, Three Frameworks: How Cross-Walk Mapping Works
Why the EU AI Act, NIST AI RMF, and ISO/IEC 42001 ask for the same things in different words — and how mapping one control once answers an obligation across all three.
Evidencing ISO 42001 From Runtime, Not a Binder
How to make an ISO/IEC 42001 AI management system auditable from operational records instead of a documentation marathon — clause 8 and Annex A evidence, captured as it happens.
ISO/IEC 42001:2023, Clause by Clause
A plain-spoken walk through ISO/IEC 42001:2023 clauses 4-10 and Annex A — what an AI management system actually demands of you, and the evidence each clause expects.
MAP and MANAGE: Closing the Loop on AI Risk
NIST AI RMF MAP frames the risk; MANAGE acts on it. Most teams break the loop in between. Here is how to operationalize the back half of the RMF with evidence.
MEASURE Without Theater: Bias Metrics as Audit Entries, Not Dashboards
NIST AI RMF MEASURE wants quantified, tracked AI risk. A bias dashboard nobody logs is theater. Here is how to turn AIF360 metrics into audit evidence.
The GOVERN Function: Turning AI Policy Into Recorded Decisions
NIST AI RMF GOVERN asks for a culture of risk management. Auditors want proof. Here is how to turn AI policy into recorded, defensible decisions.
High-Risk or Not? Classifying Your AI System Under the EU AI Act
How to classify an AI system under the EU AI Act using Article 6, Annex I, Annex III, and the Article 6(3) exemption, plus the decision-logic mistakes regulated enterprises make.
Annex IV Technical Documentation, Demystified: A Practitioner's Checklist
A practitioner's checklist for the EU AI Act Annex IV technical documentation dossier: the nine sections high-risk AI providers must assemble, keep current, and defend in conformity assessment.
Article 12 Logging: Why Your Point-in-Time Logs Won't Pass
EU AI Act Article 12 requires automatic, lifecycle-long logging for high-risk AI. Here is why snapshot logs fail an audit and what tamper-evident runtime records look like at enterprise scale.
EU AI Act Article 9: Building a Risk Management System That Survives an Audit
EU AI Act Article 9 demands a continuous risk management system for high-risk AI. Here is what enterprise teams actually operate, what notified bodies probe for, and how to evidence it.
From reading to evidence
The controls in these posts, as continuous audit-ready evidence.
Cytra governs every AI and agent action through a managed MCP gateway and turns that runtime activity into a tamper-evident record — mapped at once across the EU AI Act, NIST AI RMF, and ISO/IEC 42001. Aligned and audit-ready, not certified; the gateway is in private beta.