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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Data is often regarded as a harmless source of information that is readily available. That concept is not correct. Organizations' decisions based on data at hand may suffer if data is mishandled and not secured in the way mandated by law. Any form of data organizations use must meet data handling requirements as specified by local and international laws.

With several different data privacy regulations, many industries are subject to strict regulation. Moving to a cloud-based data model without taking into account the levels of risk organizations may face or measures to reduce risk and maintain compliance with evolving laws and regulations is a mistake many organizations make.

The area of data management known as data privacy deals with handling personal data following rules, legislation, and general privacy best practices. With the help of data privacy management, organizations gain the ability to secure sensitive data and fix privacy breaches.

Data privacy is crucial because people need to feel confident that their personal information will be handled securely if they engage in online activity. Data privacy management procedures certify that organizations can be trusted with personal information.

It contains optimal procedures for identifying, securing, and controlling data in multi-cloud situations, honoring consumer rights, minimizing hazards for vendors who handle private information, and approaches to adopt privacy by design.

At Securiti, our mission is to enable organizations to safely harness the incredible power of Data & AI.

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

View

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
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Data Access Governance
Monitor sensitive data access and prevent unauthorized use

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