Digital systems: observe workflows across processes
The environment-variable context-propagation release candidate offers a useful hypothesis for local workflows, but it needs testing and trust boundaries.
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Blog · 267 analyses
Regulation, AI and cybersecurity, with sources in view.
Context for better decisions.
Analysis on AI, cybersecurity, regulation, governance and digital systems. With sources, practical consequences and one clear next action.
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37–48 of 267
Current knowledge, organised by topic, date and practical consequence.
AI transparency before enforcement
Transparency should enter product, content, and service workflows as a European operational control.
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A roadmap for the digital omnibus
The European simplification package is a planning signal, but proposals require legislative tracking.
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Controls for single-entry incident reporting
A European single-entry proposal should become a prepared data, approval, and traceability design.
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Board assurance for AI adoption
Boards should request evidence on use, transparency, and accountability, with clear jurisdictional limits.
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Entity events for operational inventory
Entity events can make inventory observable over time, but the model remains under development.
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AI transparency controls for the EU
Transparency for interactive systems and AI-generated content needs operational evidence, not merely product messaging.
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Rebaseline compliance for the AI Omnibus
The AI Omnibus entering into force changes Commission-indicated timelines, but does not remove the need for compliance governance.
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SAP emergency control for critical vulnerabilities
CERT-EU's 9 September 2026 advisory identifies two critical vulnerabilities and recommends applying specific SAP notes.
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AI governance with continuous evidence
Effective governance connects obligations, documentation, human oversight, and evidence that can be reviewed throughout the lifecycle.
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Maintenance signals and observability control
Entity events and lifecycle conditions can improve operational visibility when technical proposals are separated from stable standards.
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Public AI pilots with verifiable controls
Turning generative-AI pilots into operational decisions requires evidence, clear scope, and compliance gates.
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