EU AI Act Control Mapping
Map WhiteBox XAI capabilities directly to provider and deployer obligations under Regulation (EU) 2024/1689. Built for AI Risk Officers preparing for high-risk conformity assessments.
Regulation (EU) 2024/1689 Alignment
WhiteBox maps continuous model telemetry, bias audits, and governance workflows to the specific articles mandated for high-risk AI providers and deployers.
Article-by-Article Obligations & Evidence
Transparent breakdown of what WhiteBox automates, what workflows we facilitate, and what your compliance team manages.
Articles 4 & 5 — AI Literacy and Prohibited Practices
Baseline governance requirements and strict screening against prohibited AI use cases.
AI Literacy Obligations
Staff who operate and oversee AI systems must possess sufficient AI literacy. The platform records user roles, RACI assignments, and review certifications; the organization delivers and tracks training programs.
Prohibited AI Practices Screening
Prohibitions on social scoring, cognitive manipulation, and biometric categorization. The system records the risk-tier classification (unacceptable / high / limited / minimal) and documentation; the organization conducts the initial screening.
Article 6 & Annex III — High-Risk System Classification
Systematic classification of high-risk AI use cases across critical sectors.
Classification of High-Risk AI Systems
The model register records the system's formal risk tier, use-case taxonomy, intended purpose, and deployer rationale. High-risk systems automatically unlock Annex IV technical documentation workflows.
Articles 9 & 10 — Risk Management System and Data Governance
Continuous risk assessment, mitigation tracking, and dataset fairness auditing.
Continuous Risk Management System
Continuous identification and mitigation of emerging AI risks across the system lifecycle. WhiteBox's AI Risk Register tracks severity, mitigation actions, and drift-triggered risk escalations.
Data and Data Governance (Bias Auditing)
Training, validation, and testing datasets must be examined for biases. WhiteBox automatically computes demographic parity, disparate impact ratios, and representation gaps across protected attributes.
Special-Category Data Safeguards for Bias Mitigation
Where sensitive or special-category data is processed strictly for bias detection and correction, WhiteBox records the attributes and safeguards. The organization documents legal necessity.
Articles 11, 12 & Annex IV — Technical Documentation & Record-Keeping
Living technical documentation and automated, tamper-evident operational logging.
Annex IV Technical Documentation Dossier
Comprehensive technical documentation covering model architecture, design choices, training data lineage, and validation metrics, compiled into an exportable auditor-ready dossier.
Automatic Operational Logging & Traceability
Continuous recording of operational events, prediction metadata, drift metrics, and system performance with SHA-256 cryptographic tamper evidence across the lifecycle.
Article 13 — Transparency and Information to Deployers
Interpretable model cards and clear instructions on operational boundaries.
Transparency & Standardized Model Cards
WhiteBox generates standardized, human-readable model cards specifying intended purpose, operational constraints, expected performance, and input specifications for downstream deployers.
Article 14 — Human Oversight & Governance Review Boards
Mechanisms to ensure effective human oversight and prevent automation bias.
Human Oversight Controls & Review Boards
Governance review boards provide structured multi-party sign-off, RACI accountability matrices, and database-enforced separation of duties to prevent model authors from approving their own deployments.
Article 15 — Accuracy, Robustness and Cybersecurity
Continuous monitoring for accuracy decay, data drift, and unexpected edge-case failures.
Accuracy, Robustness & Drift Monitoring
Real-time tracking of statistical feature drift (Wasserstein, Kolmogorov-Smirnov, PSI), prediction degradation, and anomalous inputs with automated alert thresholds.
Article 50 — Transparency Obligations for Generated Content
Disclosures and machine-readable markers for AI-generated text, audio, and visual outputs.
AI-Generated Content Disclosures & Machine-Readable Labeling
Prompt evaluation records and output watermarking policies ensuring deployers disclose synthetic or manipulated content in compliance with Article 50 transparency requirements.
Cross-Framework Governance Evidence
WhiteBox maps the same live model telemetry to ISO/IEC 42001, NIST AI RMF, GDPR, and CCPA.
See what your AI has been hiding.
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