Category: Compliance

AI compliance practices, documentation requirements, risk classification, and audit readiness for organisations

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A speaker at a lectern with mouth closed while twelve journalists take notes, illustrating AI chatbot data leakage before any user input.

Hidden AI Chatbot Data Leakage Risk

A new UC Davis measurement study shows AI chatbot data leakage is now the default behaviour of the modern chatbot stack. Names, emails and prompt content leave for third parties before a question is asked. For revenue leaders, this is a supply chain problem.
AI evaluation reports illustrated by a single printed report being read through a magnifying glass, reading glasses and a ruler on a wooden desk

Reading AI Evaluation Reports: A Practitioner’s Filter for the New Procurement Reality

AI evaluation reports are landing in procurement inboxes from vendors, third parties and government bodies like CAISI. Each type answers a different question. This practitioner filter walks through three evidence types, four reading checks, the AI Act conformity routes and the four triggers that should refresh your evidence.
AI governance divergence shown as misaligned cartographic prints separated by a draftsman's divider on a drafting table

AI Governance Divergence: Three Signals That Reset Your 2026 Compliance Roadmap

AI governance divergence stopped being a forward risk this week. The EU softened its AI Act, the United States normalised CAISI pre-release vetting and seven European tech CEOs called for further simplification. Three signals in seven days reset how compliance roadmaps must plan evidence, vendors and timelines.
Open August 2026 calendar with 2 August circled in red beside a torn paper marked POSTPONEMENT and a red wax pencil.

AI Act roadmap: planning for a deadline

The Digital Omnibus did not collapse on 28 April; it stopped. Until the next trilogue closes, the AI Act applies on its original schedule and 2 August 2026 is your planning deadline. Four scenarios, one quarterly plan, no parallel roadmaps.
Mechanical typewriter on a wooden desk with wires running from each key into a hidden cable below, illustrating algorithmic management and worker monitoring through keystroke capture.

Algorithmic Management at Scale

Meta's Model Capability Initiative tips workplace monitoring into algorithmic management territory. For EU employers, that means Article 88 GDPR, Article 22, works council consultation and the AI Act's Article 26(7) all apply at once. Three controls to add before the next workforce monitoring pilot goes live.
Glass distillation apparatus in a workshop with a row of derivative receiving vessels behind it, illustrating model provenance and the difference between an original AI system and its distilled copies.

Model Provenance: 3 Critical Vendor Questions

A US State Department cable on Chinese AI distillation has turned model provenance into an immediate vendor due diligence question for EU deployers. Three concrete asks for every supplier this quarter, and where the EU AI Act helps but does not finish the job.
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