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 is DSAR management?

DSAR management, or Data Subject Access Request management, refers to the process by which organizations handle and respond to requests made by individuals (data subjects) to access their personal data held by the organization. It involves verifying the requestor's identity, retrieving the requested data, and responding within the legally required time frame.

What is a DSAR in CCPA?

A DSAR, or Data Subject Access Request, in the context of the CCPA (California Consumer Privacy Act), is a request made by a California resident to a controller covered by the CCPA to access their personal information and receive information about how their data is being processed by the business.

What is the difference between CCPA and DSAR?

CCPA is a California data privacy law that grants consumers various rights over their personal data. Data Subject Access Rights are the rights provided to the consumer by the legislation. A DSAR Request is a specific request made by an individual under CCPA to access their personal information held by a controller and receive information about how it's being used.

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July 19, 2023

How to Manage DSARs Under CCPA Efficiently and Effectively

Many business owners, compliance professionals, and IT security staff have been scrambling to deal with the impact that GDPR had when it took effect...

July 18, 2023

6 Keys to Automating the DSAR Process Under CCPA

In our previous blog post “How to Manage DSARs Under CCPA Efficiently and Effectively” we defined and discussed Data Subject Access Rights or DSARs...

November 8, 2022

Data Subject Access Requests in Ireland

On 10 October 2022, the Irish Data Protection Commissioner (DPC) released its new guidance on Data Subject Access Requests along with Frequently Asked Questions....

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November 5, 2022

How to Handle Data Subject Access Requests from Employees & Ex-Employees?

It’s been over four years since the European Union’s General Data Protection Regulation (GDPR) came into effect. Since its enactment, the renowned data privacy...

August 15, 2022

What is DSAR? Data Subject Access Request Complete Guide

An individual (data subject) may submit a Data Subject Access Request (DSAR) to a company to find out what information has been collected and...

June 3, 2022

Data Subject Rights under California Privacy Rights Act (CPRA)

Data privacy laws have gained increased importance worldwide in the past couple of years. Multiple factors have played a role in this phenomenon, the...

August 19, 2021

DSARs may include internal communication

Are you ready to respond to DSARs asking for internal communications? When you respond to data subject access requests, as per Article 15 of...

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Discover shadow and cloud-native assets and accurately classify data

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Understand data lineage and secure real-time streaming data

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

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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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Monitor sensitive data access and prevent unauthorized use

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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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Conduct data quality checks and validation across various data types

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Manage your entire data mapping lifecycle and automate RoPA reports

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