Unacceptable risk
Prohibited AI
AI practices that create unacceptable risks.
Key examples
- Social scoring
- Harmful manipulation and deception
- Certain real-time biometric identification in public spaces
EU AI Act Compliance
CognitiveView connects AI discovery, risk classification, controls, assessments, evidence, assurance and continuous monitoring in one platform — helping you turn EU AI Act requirements into evidence-backed AI decisions.
Understand your AI
Discover and classify AI risk
Build evidence
Connect controls and assessments
Stay compliant
Monitor your AI continuously
Key regulatory milestones
Track key application dates, understand which obligations apply, and plan your compliance work across the AI lifecycle.
Entry into force
Act entered into force
Prohibitions & AI literacy
Prohibited practices and AI literacy obligations apply
GPAI governance
GPAI & governance obligations apply
Main application
Main AI Act application and enforcement phase
Annex III high-risk AI
Certain Annex III high-risk obligations apply
Regulated products
Certain high-risk AI embedded in regulated products apply
Why the EU AI Act?
The EU AI Act introduces a risk-based framework with obligations for organizations that develop, provide or use AI systems in the EU.
“The aim of the rules is to foster trustworthy AI in Europe.”
A risk-based framework connecting AI governance with responsibilities across the AI value chain.
Start with a clear view of your AI systems and their intended use. Connect applicable obligations to controls, assign ownership, and maintain evidence as your AI evolves.
An end-to-end platform to operationalize the EU AI Act.
Identify AI systems and determine applicable rules.
Apply risk-based controls across the AI lifecycle.
Capture the documentation and evidence you need.
Support compliance and monitor continuously.
Risk-based governance
Different AI systems. Different obligations. Understand prohibited practices, high-risk use cases, transparency requirements and general-purpose AI responsibilities.
Unacceptable risk
AI practices that create unacceptable risks.
Key examples
High-risk use cases
AI systems subject to extensive requirements.
Key examples
Disclosure obligations
Specific transparency obligations for certain AI.
Key examples
Model obligations
Additional obligations for general-purpose AI models.
Key examples
Selected examples of risk-based and model-specific obligations.
Read the official framework (opens in a new tab)Your compliance readiness
See your compliance readiness across your entire AI estate. Connect inventory, risk, controls and evidence in one clear view.
EU AI Act readiness overview
Illustrative dashboard · Sample data
Across your AI estate
Applicable across industries, roles and AI technologies. Explore how governance connects to the AI systems your organization builds and uses.
Clinical, operational and patient-facing AI
Credit, fraud and customer AI
Talent and workforce AI
Government and citizen services
Student assessment and learning AI
Build and govern AI products
Copilots, chatbots and content generation
Autonomous workflows and tools
A use-case-agnostic governance framework
Ready for EU AI Act compliance?
Know your AI. Understand your obligations. Build the controls. Capture the evidence. Make defensible AI decisions.
Demonstrate responsible AI governance to customers and regulators.
Identify and manage AI risks across your AI estate.
Monitor changes and adapt as EU requirements evolve.