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AI Intelligence

Where AI risk is moving, before it arrives

Continuous tracking of AI regulation, supervisory practice, adversarial technique, and market structure — translated into what it means for the systems you actually run.

Coverage

Four intelligence streams

Regulatory Legislative development, supervisory guidance, enforcement action, and standards work across major jurisdictions.
Threat Adversarial techniques observed against AI systems, and the architectures that make each one viable.
Market Model, vendor, and infrastructure concentration, and the dependency risk it creates downstream.
Benchmark How assurance and governance maturity compares across sectors and regulatory footprints.

Regulatory picture

The frameworks currently shaping practice

Position as at July 2026. Regulatory intelligence is time-sensitive; subscribers receive changes as they occur rather than at annual publication.

EU AI Act
Regulation (EU) 2024/1689. Prohibitions and AI literacy obligations applied from 2 February 2025; general-purpose AI model obligations and the Member State governance architecture from 2 August 2025; general application from 2 August 2026. The provisional agreement reached in May 2026 extends the Annex III high-risk compliance deadline to December 2027.
Harmonised standards
prEN 18286, the draft European standard for AI quality management systems, remains in development. Until harmonised standards are cited in the Official Journal, conformity work rests on the Regulation’s text and existing international standards.
ISO/IEC 42001
The certifiable AI management system standard. It covers a substantial share of the organisational and documentation expectations of the AI Act, but certifies a management system rather than a product — it is not, by itself, evidence of conformity for a specific high-risk system.
NIST AI RMF
Voluntary in origin but widely adopted as the functional decomposition of AI risk work: Govern, Map, Measure, Manage — extended by the Generative AI Profile (NIST AI 600-1).
Sectoral regulation
Financial services, medical devices, employment, and consumer protection regimes impose AI-relevant obligations that predate and sit alongside AI-specific law.

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