EU AI Act Compliance Platform

Achieve EU AI Act Compliance. Prove It Continuously.

One governance platform that automates risk classification, enforces compliance policies in real time, and generates the continuous evidence auditors and regulators demand — across every AI system in your organisation.

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AUG 2026 — High-Risk Deadline·Fines: Up to 7% Global Turnover·Deploy in < 14 Days

The EU AI Act Is Not a Future Problem. It Is an Active Regulation.

The EU AI Act entered force in August 2024. Prohibited AI practices and AI literacy requirements have been enforceable since February 2025. Obligations for general-purpose AI models have been live since August 2025.

The next critical milestone is August 2, 2026 — when the full compliance stack for high-risk AI systems becomes enforceable. This includes conformity assessments, risk management systems, technical documentation, human oversight mechanisms, and registration in the EU database. Organisations deploying high-risk AI without these controls face fines of up to €35 million or 7% of global annual turnover, whichever is higher.

88% of organisations now use AI. Only 25% have comprehensive AI governance in place. The gap between adoption and compliance readiness is where regulatory exposure lives.

LIVE
FEB 2025
Prohibited Practices
AI literacy requirements and banned AI use cases now enforced
LIVE
AUG 2025
GPAI Obligations
General-purpose AI transparency and documentation rules
UPCOMING
AUG 2026
High-Risk Systems
Conformity assessment, risk management, and oversight requirements
UPCOMING
AUG 2027
Full Enforcement
Annex I high-risk classification complete; all provisions active
7%
of global annual turnover — maximum EU AI Act fine for prohibited practices (Article 99)
88%
of organisations now use AI (McKinsey, 2025)
25%
have comprehensive AI governance (IAPP, 2024)

Quarterly Audits Cannot Govern Real-Time AI Systems

The EU AI Act demands continuous compliance — not a PDF you produced last quarter. Models change. Usage patterns shift. New regulations land. Auditors now require real-time evidence that every AI interaction is governed, every policy is enforced, and every decision is logged.

Most organisations are still relying on manual processes, fragmented tooling, and reactive audits. Spreadsheets track risk classifications that go stale within weeks. Compliance evidence is assembled retrospectively. PII flows through third-party LLMs without detection.

This is the gap Difinity.ai was built to close.

Manual Compliance Does Not Scale

You cannot manually classify, monitor, and document dozens of AI systems across multiple teams and providers. The EU AI Act requires continuous evidence — not periodic snapshots.

Fragmented Tools Create Fragmented Evidence

When your governance stack spans five or more tools — an API gateway here, a compliance platform there, a separate audit log — there is no single source of truth. Regulators need unified evidence.

Retroactive Audits Miss What Matters

Observability tools tell you what happened after the fact. The EU AI Act requires that non-compliant requests are prevented before they execute. Monitoring is not enforcement.

One Platform. Every EU AI Act Requirement. Continuous Compliance.

Difinity.ai is a runtime enforcement gateway that sits between your applications and every AI provider. Every request is intercepted, scanned against your compliance policies, and logged — before it reaches any LLM. The result is not just compliance. It is provable, continuous, auditable compliance.

Articles 6, 49 — Risk classification and EU database registration

Risk Classification and AI System Inventory

Every AI use case in Difinity is classified against the EU AI Act's four-tier risk framework: Unacceptable, High, Limited, and Minimal. Risk levels are assigned per use case and drive which compliance controls are automatically enforced. The Use Case management system serves as your living AI system inventory — documenting each system's purpose, intended users, deployment context, and geographic scope.

  • Per-use-case risk classification (Unacceptable, High, Limited, Minimal) aligned to Articles 6 and Annex III
  • AI System Inventory with system descriptions, intended purpose, target users, deployment contexts, and geographic scope — the fields required for EU database registration under Article 49
  • Automatic enforcement escalation: high-risk use cases trigger the full compliance stack; minimal-risk use cases apply proportionate controls
  • Classification drives every downstream compliance check — nothing is applied manually
Articles 5, 9, 14, 15 — Prohibited practices, risk management, human oversight, robustness

Real-Time Policy Enforcement

Difinity Flow — the runtime enforcement gateway — applies compliance policies to every AI request before it reaches the LLM. This is not post-hoc monitoring. It is preventive governance. Prohibited practices under Article 5, such as social scoring or manipulative AI, are detected and blocked in real time. Content safety checks flag harmful or non-compliant outputs. Policy decisions are logged with full context.

  • Difinity Flow intercepts every AI request and applies compliance rules before execution
  • Prohibited AI practice detection aligned to Article 5 — social scoring, manipulation, untargeted biometric scraping are automatically blocked
  • Content safety and moderation checks for harmful, toxic, or prohibited content
  • Fail-closed architecture — if the governance layer is unreachable, requests are blocked, not forwarded. Data never bypasses governance.
Articles 10, 15 — Data governance, accuracy, and cybersecurity

PII Detection and Redaction

Sensitive data leaving your organisation is the single largest compliance risk in enterprise AI. Difinity's PII engine automatically detects personally identifiable information — names, identification numbers, financial data, health records — and redacts it before any data reaches an external LLM provider. Redaction is configurable per use case: full anonymisation or masking with secure restoration on response.

  • Automatic PII detection across every AI request — SSNs, names, dates of birth, financial data, health records
  • Configurable redaction modes per use case: full anonymisation or masking with secure restoration
  • GDPR-compliant by design — personal data never leaves your control boundary
  • Custom PII patterns for industry-specific sensitive data (e.g., medical record numbers, account identifiers)
Articles 9, 10 — Risk management, data governance

Bias Detection and AI Analysis

High-risk AI systems must be tested for bias and their decisions must be explainable. Difinity's LLM Analysis engine monitors AI outputs for bias indicators, decision patterns, and recommendation-type content. When bias is detected, the system flags the interaction, logs the analysis with confidence scoring, and can escalate to human review.

  • Bias detection engine that monitors AI outputs for bias indicators in real time
  • Decision and recommendation classification — identifies when AI is making consequential decisions
  • Confidence scoring with configurable thresholds per use case
  • Detailed evaluation results logged to the audit trail for regulatory evidence
Article 14 — Human oversight

Human Oversight and Escalation

Article 14 of the EU AI Act requires human oversight mechanisms for high-risk AI systems. Difinity's human escalation feature routes flagged interactions — content safety violations, bias detections, policy exceptions — to designated governance team members for review and decision. This is not a human in the room. It is structured, documented, auditable human oversight.

  • Human escalation routing for flagged interactions — configurable per use case
  • Governance team notification with full context: the request, the policy violation, the AI analysis
  • Documented human decisions logged to the audit trail
  • Escalation thresholds configurable by risk level — high-risk use cases trigger more conservative escalation
Articles 12, 19, 17 — Record-keeping, logs, quality management

Comprehensive Audit Trail

The EU AI Act requires that every AI interaction is logged with full context — not just the request and response, but the policy decisions, PII detections, content safety results, and compliance checks applied. Difinity's Audit Trail records every interaction across two dimensions: user activity within the governance console and API access logs for every AI request processed through the enforcement gateway.

  • Every AI request logged with full policy context: PII scan results, content safety checks, bias analysis, policy decisions, model routing
  • User activity tracking within Difinity Hub — who changed what policy, when, and why
  • API access logs with authentication details, request metadata, and geographic origin
  • Tamper-proof, continuous logging — not periodic exports
  • Searchable, filterable, exportable for audit preparation
Article 9 — Risk management system

Risk Assessment

High-risk AI systems require a documented risk management system that identifies, evaluates, and mitigates risks throughout the AI system lifecycle. Difinity's Risk Assessment module provides a structured workflow for conducting and documenting risk assessments per use case, linked directly to the compliance dashboard. Assessments are living documents — updated as systems evolve, not filed and forgotten.

  • Structured risk assessment workflows linked to each AI use case
  • Risk identification, evaluation, and mitigation documentation
  • Direct linkage to the Compliance Dashboard — assessment completion status feeds the compliance score
  • Versioned assessments that track changes over time
Articles 11, 13, 50 — Technical documentation, transparency, AI disclosure

Technical Documentation and Transparency

High-risk AI systems must be accompanied by technical documentation per Annex IV and transparency disclosures that inform users they are interacting with AI. Difinity auto-populates technical documentation using the system context fields you configure per use case — system description, intended purpose, target users, deployment contexts, and geographic scope. AI disclosure is a toggle: enable it, and every interaction includes a notification that the output is AI-generated.

  • Auto-populated technical documentation packages using configured system context fields
  • AI disclosure toggle per use case — ensuring Article 50 transparency compliance
  • Instructions for Use (IFU) documentation support
  • AI Notice generation for downstream deployers
Articles 43, 47, 48, 49, 71 — Conformity assessment, declaration of conformity, CE marking, registration

Conformity Assessment and EU Database Registration

For high-risk AI systems, the EU AI Act requires a formal conformity assessment, a Declaration of Conformity, and registration in the EU database before the system can be placed on the market. Difinity provides a guided three-step workflow: self-assessment against Annex VI requirements, Declaration of Conformity issuance, and registration data preparation — with progress tracking across every step.

  • Three-step guided workflow: Self-Assessment → Declaration of Conformity → EU Database Registration
  • Self-assessment wizard aligned to Annex VI internal assessment procedure
  • Formal Declaration of Conformity document generation
  • Registration data fields pre-populated from your use case configuration
  • Progress tracking with completeness indicators across all three steps
  • Versioning — create new versions when systems undergo substantial modification
Article 27 — Fundamental rights impact assessment for deployers

Fundamental Rights Impact Assessment

Deployers of high-risk AI systems in certain categories must conduct a Fundamental Rights Impact Assessment (FRIA) before putting the system into use. Difinity tracks FRIA completion status per use case and integrates it into the compliance dashboard — ensuring this requirement is not overlooked in the broader compliance programme.

  • FRIA tracking per use case as part of the compliance matrix
  • Completion status visible on the compliance dashboard
  • Integration with the overall compliance score
Article 62 — Reporting of serious incidents

AI Incident Management

Providers and deployers of high-risk AI systems must report serious incidents to national authorities. Difinity's AI Incident Management module provides structured incident detection, documentation, and response workflows — ensuring that when something goes wrong, your response is documented, timely, and regulation-compliant.

  • Structured incident detection and documentation
  • Incident response workflows with assigned owners and timelines
  • Complete incident audit trail for regulatory reporting
  • Integration with the broader governance and compliance framework

See Your Entire EU AI Act Compliance Posture in One Dashboard

The Compliance Dashboard aggregates compliance data from every AI use case in your organisation and presents it as a single compliance score — from 0% to 100%. It shows exactly which requirements are met, which have gaps, and what you need to fix. Every red mark is clickable. Every gap has a remediation path. Every improvement is reflected in real time.

Overall Compliance ScoreA single percentage showing your organisation-wide EU AI Act readiness, colour-coded: green (80–100%), amber (50–79%), red (0–49%).
Per-Use-Case CardsIndividual compliance scores for every AI use case, showing risk level classification and individual requirement status.
Compliance MatrixA detailed requirement-by-use-case grid showing exactly which controls are met, which have gaps, and which are not applicable. Columns include risk level, risk assessment, PII detection, content safety, human oversight, bias detection, AI disclosure, approved prompt, monitoring, technical documentation, FRIA, post-market monitoring, and EU database registration.
Prioritised Action ItemsA numbered, priority-ranked list of every action needed to improve your compliance score. Each item includes a description, priority badge, and a direct “Fix” button that navigates to the exact configuration page.

Compliance Is Not a Milestone. It Is an Operating State.

Most compliance platforms help you get compliant. Difinity keeps you compliant. Regulations change. Models change. Usage patterns evolve. Teams onboard new AI tools. The EU AI Act does not care about when you last passed an audit — it requires that your AI systems are governed right now, at this moment, on this request.

Difinity enforces compliance at runtime. Every request is checked. Every policy is applied. Every interaction is logged. When regulations update, Difinity updates policies automatically — with human-in-the-loop approval before any enforcement change takes effect. This is the difference between point-in-time certification and continuous regulatory compliance.

Runtime Enforcement, Not Retroactive Audits

Every AI request flows through Difinity Flow. Policies are enforced before execution. Non-compliant requests are blocked, not logged after the fact.

Automatic Regulation Updates

When EU AI Act guidance evolves, Difinity updates compliance policies automatically. Human-in-the-loop approval ensures no enforcement change goes live without review.

Continuous Evidence Generation

Audit trails, compliance scores, and governance logs update in real time. Your compliance evidence is always current — not a snapshot from last quarter.

Purpose-Built for the Industries the EU AI Act Targets First

The EU AI Act's high-risk classification under Annex III disproportionately affects four sectors: financial services, healthcare, government, and enterprise technology. Difinity was built by practitioners from these regulated industries — and designed specifically for the compliance challenges they face.

Financial Services

Credit scoring, fraud detection, and loan assessment AI systems face the strictest EU AI Act requirements. PII protection for financial data. Bias detection for lending decisions. Full audit trails for regulatory examination.

Healthcare

Clinical decision support, diagnostic AI, and patient-facing systems require rigorous human oversight and data governance. Difinity enables safe AI deployment with automatic PII redaction for patient data and content safety controls.

Government

Public sector AI systems in law enforcement, immigration, and social services are classified as high-risk by default under the EU AI Act. Difinity provides the governance infrastructure for compliant public sector AI.

Enterprise Technology

SaaS companies embedding AI features, internal AI tooling, and multi-provider LLM architectures all fall within the EU AI Act's scope. Difinity's unified API governance simplifies compliance across complex AI stacks.

Deploy in Days, Not Quarters

Difinity sits between your applications and your LLM providers. Three integration modes mean you can start governing AI without rewriting your application code.

Full Routing

Route all AI requests through Difinity Flow. Full governance, PII protection, and compliance enforcement on every interaction. Unified API for OpenAI, Anthropic, Google Gemini, DeepSeek, and Grok.

Verify-Only

Send requests through Difinity for compliance checks without changing your routing. Get governance visibility and audit trails without modifying your AI pipeline.

DNS-Level Redirect

Zero code changes. Swap a DNS entry and all traffic flows through Difinity's enforcement layer. The fastest path to governed AI.

< 14 Day Deployment·1–2s Governance Overhead·AES-256 / TLS 1.3·Regional Data Residency·Fail-Closed Architecture

EU AI Act Compliance Questions

The EU AI Act (Regulation 2024/1689) is the world's first comprehensive AI regulation. It entered force in August 2024. Prohibited practices and AI literacy obligations are already enforceable. High-risk AI system requirements — including conformity assessments, risk management, and human oversight — become enforceable on August 2, 2026. The regulation applies to any organisation that places AI systems on the EU market or whose AI systems affect people in the EU, regardless of where the organisation is based.

Difinity allows you to classify every AI use case against the EU AI Act's four-tier risk framework (Unacceptable, High, Limited, Minimal) directly within the platform. Risk classification is assigned per use case and automatically determines which compliance controls are applied. The platform also provides a free EU AI Act Risk Classifier tool at difinity.ai/tools/eu-ai-act-classifier that helps you assess your systems.

Yes. Difinity provides a guided three-step workflow for high-risk AI: self-assessment against Annex VI requirements, Declaration of Conformity issuance, and EU database registration preparation. Progress is tracked per use case with completeness indicators.

Difinity generates continuous compliance evidence including: a unified compliance dashboard with per-use-case scores, a detailed compliance matrix showing requirement-level status, complete audit trails for every AI interaction, risk assessment documentation, technical documentation packages, conformity assessment records, and prioritised action items for remediation.

Most deployments complete in under 14 days. Three integration modes are available: full API routing, verify-only mode for compliance checks without routing changes, and DNS-level redirect with zero code changes.

Difinity uses a fail-closed architecture. If the governance layer is unreachable, AI requests are blocked — not forwarded to LLM providers. Your data never bypasses governance, even during infrastructure events.

Yes, if your AI systems are placed on the EU market or affect people located in the EU. The EU AI Act has extraterritorial reach, similar to GDPR. Any organisation deploying AI that impacts EU residents should assess their compliance obligations.

Difinity monitors regulatory developments and updates compliance policies automatically. A human-in-the-loop approval step ensures no enforcement change goes live without your governance team's review. This is what continuous compliance means — your policies evolve as the regulatory landscape evolves.

The August 2026 Deadline Will Not Wait.

The compliance timeline for high-risk AI systems is estimated at 32–56 weeks. If your organisation has not started, the window is closing. Start with a compliance briefing — not a demo. Understand your regulatory exposure. See where your gaps are. Then decide.

Financial services, healthcare, government, and technology sectors. Current early access cohort: limited to 15 organisations.