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EU AI Act · Article 4 active · Article 50 from 2 Aug 2026 · high-risk rules transition through 2027–2028
DATA ASSURANCE

Automation that knows when not to approve.

AI Act Navigator separates source availability, content change and editorial risk. Safe changes can be automatically assured; material regulatory, certification, commercial and technical changes are isolated for editorial confirmation.

CURRENT PIPELINE

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CONTROL PRINCIPLE

Deterministic first

Network status, hashes, structured evidence signals and freshness checks remain the primary controls. Optional semantic analysis can assist classification but cannot silently rewrite catalogue facts.

AUTOMATIC ASSURANCE

What can pass automatically

  • Unchanged sources
  • Cosmetic and navigation changes
  • Non-material copy changes
  • Reachable source changes with no material evidence signal
  • Legacy source records being baselined by the new assurance engine
EDITORIAL ESCALATION

What remains reviewable

  • Source availability failures
  • Regulatory or AI Act claim changes
  • Certification and attestation changes
  • Pricing or commercial-model changes
  • Material deployment, API or SDK capability changes
  • Large unexplained content changes
AUDIT TRAIL

Every automated decision leaves evidence

The review ledger records the vendor, monitored source, timestamp, previous and current hashes, detected change categories, decision and reason. A human-review queue is generated when the system cannot safely establish that a material claim remains valid.

Automated assurance is a data-quality control. It is not a legal certification, conformity assessment or statement that a vendor is legally compliant with the EU AI Act.

Read the full curation methodology →