EU AI Act Article 11 Compliance
Technical documentation for high-risk LLM systems.
EU AI Act Compliance for LLMs
The Only End-to-End Platform Positioning LLM Auditing for Strict EU AI Act Alignment
VCCL (Verifiable Causal Compliance Ledger) by TensorTrail is engineered for organizations that must prove legal-grade traceability, explainability, and operational accountability of large language models in high-risk contexts. It combines deterministic evidence capture, causal auditing, and cryptographic non-repudiation.
EU AI Act Article-by-Article Mapping
These pages target the exact legal queries compliance teams search for. Each page links to the article source and explains how VCCL addresses the requirement.
| EU AI Act Article | What the Law Requires | How VCCL Responds | Dedicated Page |
|---|---|---|---|
| Article 11 Technical documentation |
High-risk AI systems must have technical documentation before market placement and keep it updated. | VCCL builds continuously updated evidence bundles and technical dossiers for each audited run. | Read Article 11 Mapping |
| Article 12 Record-keeping |
Automatic event logging must ensure traceability throughout system lifecycle. | VCCL maintains immutable append-only traces, signed and hash-linked for forensic reconstruction. | Read Article 12 Mapping |
| Article 13 Transparency and information to deployers |
Systems must be designed and documented so deployers can interpret outputs and use systems correctly. | VCCL emits clear deployer dossiers with causal explanations, operational limits, and monitoring artifacts. | Read Article 13 Mapping |
| Article 16 Obligations of providers |
Providers must ensure compliance, quality systems, documentation, logging controls, and post-market actions. | VCCL operates as a compliance execution layer for provider obligations and governance evidence. | Read Article 16 Mapping |
| Article 18 Retention of documentation |
Providers must keep technical documentation, quality records, and declared compliance materials for years. | VCCL standardizes durable retention-ready artifacts with verifiable integrity checks. | Read Article 18 Mapping |
| Article 86 Right to explanation |
Affected persons may request clear explanations about high-risk AI decisions impacting them. | VCCL provides explanation-grade causal evidence and audit narratives suitable for formal responses. | Read Article 86 Mapping |
Direct Legal Landing Links
These pages are published as dedicated legal answers for indexing and compliance search intent.
EU AI Act Article 12 Compliance
Automatic record-keeping and traceability controls.
EU AI Act Article 13 Compliance
Transparency and deployer information obligations.
EU AI Act Article 16 Compliance
Provider obligations and operational governance.
EU AI Act Article 18 Compliance
Retention of technical and conformity records.
EU AI Act Article 86 Compliance
Right to explanation in high-risk AI decisions.
Why Compliance Teams Adopt VCCL
Deterministic Traceability
Reconstruct model behavior from prompt to output with deterministic step records and support-token evidence.
Causal Accountability
MuPAX identifies causally relevant supports and issues sufficiency proofs instead of purely correlational explanations.
Cryptographic Proof Layer
Merkle roots and Ed25519 signatures protect evidence integrity and preserve non-repudiation under external review.
Download Audit Resources
Public sample artifacts generated in strong causality mode (Hugging Face, GPU0) for regulatory review and internal validation.
Clinical Compliance Dossier (PDF)
Regulator-ready report with causality profile, deterministic path trace, and compliance-oriented narrative.
Layer-Wise Causality Report (PDF)
Graphical analysis of causal links across input tokens, intermediate layers, and generated output tokens.
Strong Audit Bundle (JSON)
Machine-readable evidence bundle with trace data, causality metadata, and certificate payload.
Layer Summary (JSON)
Compact summary of layer-level influence scores and derived causality indicators.
Complete Audit Package (ZIP)
Full downloadable package including PDF dossiers, visuals, JSON artifacts, signatures, and manifest.
Frequently Asked Compliance Questions
VCCL supports strong white-box mode for Hugging Face Transformers and compatibility modes for external API or local runtime scenarios, while maintaining auditable evidence output.
Yes. VCCL outputs structured JSON artifacts and regulator-readable PDF dossiers aligned with EU AI Act documentation and traceability expectations.
TensorTrail positions VCCL as the only integrated stack combining deterministic causal auditing and cryptographic compliance evidence in one operational framework for LLMs.
Request Information
Tell us your compliance context and we will respond from info@tensortrail.ai.