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.

What are the requirements for PIPL compliance?

The Personal Information Protection Law (PIPL) in China requires organizations to obtain consent for data processing, implement security measures, appoint a Data Protection Officer (DPO), and follow specific rules for cross-border data transfers, among other compliance requirements.

How is PIPL different from GDPR?

PIPL and GDPR are data protection regulations, but they differ in scope, definitions, and specific requirements. For example, PIPL applies to the processing of personal information in China, while GDPR covers the European Union.

What are examples of personal information under PIPL?

Personal information under PIPL includes names, identification numbers, contact information, biometric data, health information, and any data that can be used to identify an individual.

Does the PIPL require a DPO?

Yes, the PIPL requires certain organizations to appoint a Data Protection Officer (DPO) responsible for overseeing data protection compliance and acting as a point of contact for data subjects and authorities.

What is Personal Information under PIPL?

Personal information refers to various information related to an identified or identifiable natural person recorded electronically or by other means, but does not include anonymized information.

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November 1, 2023

Personal Information Protection Law (PIPL) Compliance Checklist

China has passed its data protection law named the Personal Information Protection Law (PIPL) that came into effect on November 1, 2021. The PIPL...

September 14, 2023

Employer Obligations on Employee Data Under Indian Law

UPDATE: The Personal Data Protection Bill 2019 has been withdrawn by the Indian government after over three years of discussion. The Bill had attracted...

September 11, 2023

Securiti named a Leader in the IDC MarketScape for Data Privacy Compliance Software

Securiti has just been recognized as a Leader in the “IDC MarketScape: Worldwide Data Privacy Compliance Software 2023 Vendor Assessment” report. This makes us...

September 4, 2023

What is RoPA? Records of Processing Activities Explained

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September 2, 2023

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ITAR and Encryption | What You Need to Know

Protecting user data, especially sensitive data, is the primary objective of data regulations. In a world where cybersecurity incidents are rampant, losing sensitive data...

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We are excited to share that Securiti has won the SC Magazine Award for “Best Regulatory Compliance Solution''. The SC Awards program is cybersecurity’s...

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Behind the Headlines: Understanding The FTC’s Microsoft Case

The Xbox network, more popularly known and branded as Xbox Live, has been one of Microsoft's most successful and popular ventures of the past...

August 11, 2023

The HR Guide to Employee Data Protection

Employee data protection is becoming increasingly important for organizations that are aiming to comply with global privacy laws. This puts pressure on the HR...

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

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

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Discover shadow and cloud-native assets and accurately classify data

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Monitor sensitive data access and prevent unauthorized use

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