When will the EU AI Act come into effect?

The AI Act will become fully applicable in 2026 (except for a few provisions) with a phased enforcement timeline that began on August 1, 2024. Various provisions came into effect after their effective date. Provisions on prohibited AI practices came into effect in February 2025, with various other obligations and chapters coming into effect gradually in 2025, 2026, and 2027.

Which AI systems are considered high-risk?

High-risk AI systems include any AI systems that pose significant impacts on health, safety, or fundamental rights. These include AI used in critical infrastructure, medical devices, law enforcement, recruitment, education, and financial services. Any providers or deployers of such systems must adhere to the requirements related to risk management, data governance, transparency, and human oversight.

How will the EU AI Act be enforced?

The newly created European AI Office will oversee the enforcement of the AI Act. This office will work with the various supervisory authorities in the EU member states and coordinate efforts related to compliance, audits, investigation of violations, and future recommendations.

What penalties exist for non-compliance?

Non-compliance with the AI Act can result in fines of up to €35 million or 7% of a company's annual turnover, whichever is higher. The penalties are tiered based on the severity of the violation. Violations of prohibited AI practices carry the highest penalties, while non-compliance with other obligations (such as those for high-risk systems) can result in fines up to €15 million or 3% of global turnover. Providing incorrect information to authorities carries the lowest penalties, up to €7.5 million or 1% of global turnover.

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Ozair Malik

Security Researcher at Securiti

Ozair operates at the intersection of Cybersecurity, AI, and data privacy, helping enterprises navigate emerging data + AI security risks. He is experienced in solution architecture, consulting, and technical evangelism, guiding organizations in adopting secure AI technologies. He holds a bachelor’s degree in Cybersecurity and is ISC2 Certified in Cybersecurity.

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Ensure robust data protection while scaling AI agents and copilots. Learn how to accelerate AI agents adoption securely across the enterprise

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Monitor user access to data and enforce least privilege controls

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Discover shadow and cloud-native assets and accurately classify data

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Build safe enterprise AI systems

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Data Vectorization and Ingestion
Extract info from complex Unstructured Files, convert it into AI-ready formats, and sync to vector databases

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Data Curation and Sanitization for AI
Transform raw, unstructured files into data ready for model training and tuning

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Context-aware LLM Firewalls
Protect AI interactions with intelligent retrieval, response, and prompt firewalls

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Unstructured Data Governance
Manage and govern unstructured data to enable its safe use with generative AI

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Govern data for safe innovation

Data Discovery & Classification
Discover shadow and cloud-native assets and accurately classify data

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Unstructured Data Governance
Manage unstructured data to enable safe use with generative AI

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Data Access Governance
Monitor sensitive data access and prevent unauthorized use

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AI Governance
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Data Catalog
Enable users to easily find, understand, trust and access the data they need

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Automatically track changes and transformations of data throughout its lifecycle

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Automate data privacy operations

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Comply with emerging AI regulations and ensure safe use of AI

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