The EU AI Act isn’t coming — it’s already here. With full implementation on the horizon, organizations deploying AI in Europe must move from reactive risk mitigation to proactive compliance.
Aiceberg was built for this moment. Whether you're a model builder, risk officer, or enterprise stakeholder, Aiceberg makes it radically simpler to document, monitor, and prove AI compliance at scale.
Here’s how Aiceberg directly supports key requirements of the EU AI Act, what timelines you need to be prepared for, and what future-proofing steps should already be in motion.
📜 Compliance Starts with the Right Articles
The EU AI Act introduces a risk-based framework with mandatory obligations for “high-risk AI systems." If you're deploying AI in healthcare, HR, finance, public services, or safety-critical infrastructure, you're in the spotlight.
These are the Articles you should be paying attention to — and how Aiceberg aligns with them:
Article 9 – AI Risk Management System
You need a documented, continuous AI risk management process. Aiceberg tracks AI model usage, monitors deployment environments, and enables automated risk alerts throughout the lifecycle.
How Aiceberg helps:
- AI threat detection for significant events
- Explainable, traceable models to support monitoring and alerts
Article 10 – Data and Data Governance
Training data must be relevant, representative, and free from bias. You also need traceability on preprocessing and annotation.
How Aiceberg helps:
- Data lineage reports with audit trails
- Built-in model bias testing and detection
- Structured training dataset documentation
Article 11 – Technical Documentation
All high-risk systems must come with a detailed technical file at deployment.
How Aiceberg helps:
- Model bias scorecards, risk signal logs, and action summaries
- Exportable documentation ready for regulator submission
Article 12 – Automatic Logging Obligations for High-Risk AI Systems
High-risk AI systems must be designed and developed with automatic logging capabilities to:enable traceability of system operation, facilitate monitoring and post-deployment audits, and support investigation of incidents and failures.
The regulation doesn't prescribe exact fields but implies logs should include:
How Aiceberg helps:
- Immutable event histories for every model instance
- Granular usage tracking tied to specific inputs and outputs
- User interaction logs to track human-in-the-loop decisions
Article 14 – Human Oversight
You must design systems to be overseen by humans — and prove it.
How Aiceberg helps:
- Assign oversight responsibilities with role-based access
- Track decisions and overrides
- Log user interactions with model inputs/outputs
- Named entity recognition to understand the subject matter of AI interactions
- Sentiment analysis to gauge emotional tone/attitude of inputs/outputs
Article 15 – Accuracy, Robustness, and AI Cybersecurity
Models must perform reliably and be protected against manipulation or failure.
How Aiceberg helps:
- Automated logging of retraining events
- AI threat detection and alerts for anomalous behavior or degraded performance
- Risk signal library includes real-time monitoring for:
- Illegality
- Toxicity
- PII/PCI/PHI
- Code presence and code safety
- Prompt injection and other AI cyber risks
🗓️ Timelines: When You Need to Be Ready
The EU AI Act follows a staged implementation:
⚠️ Don’t wait for 2026. Not only are regulators watching now — your customers and partners are, too. Many are already demanding compliance-by-design from vendors and providers.
Aiceberg helps you get ahead of enforcement by making compliance continuous, not episodic.
🔮 What’s Next: Future-Proofing Your AI Governance
The EU AI Act is only the beginning. You should be preparing for:
Interoperability with Global Regulations
From the U.S. Executive Order on AI to the UK AI Regulation White Paper, expect convergence around core themes: transparency, fairness, and accountability.
Aiceberg’s architecture is modular and standards-aware — built to adapt to future regulatory schemas like NIST RMF, ISO 42001, and OECD AI Principles.
Centralized AI Governance Across Portfolios
As your organization scales AI, distributed systems will become unmanageable without central oversight. Aiceberg lets you:
- View all models in one control panel
- Standardize documentation across teams
- Apply policy templates for risk, fairness, and privacy
Demonstrable Trust
Compliance is the floor — trust is the ceiling. Increasingly, procurement, insurance, and even the capital markets are factoring AI governance maturity into decisions.
Aiceberg gives you the artifacts and audit trails you’ll need to prove you’re not just compliant — you're credible.
Conclusion
The EU AI Act is not a fire drill. It's a shift in the AI development lifecycle — and Aiceberg is the platform built for this new era.
If you're building or deploying AI in Europe, now is the time to operationalize compliance, not just talk about it. With Aiceberg, you’re not just checking boxes — you're building responsible systems by design.
No spreadsheets. No guesswork. Just compliance that scales.
Want to see how Aiceberg maps to your AI systems? Request a demo →
See Aiceberg In Action
Book My Demo
