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 an example of sensitive data exposure?

An example of sensitive data exposure is when a healthcare organization's patient records, including medical history and social security numbers, are inadvertently made publicly accessible online.

What can lead to sensitive data exposure?

Insecure storage, misconfigured databases, inadequate access controls, data breaches, and accidental publishing can cause sensitive data exposure.

What is a data exposure?

Data exposure refers to situations where the personal information of data subjects, including sensitive or confidential information, becomes accessible to unauthorized individuals, whether intentionally or unintentionally.

What are the risks of sensitive data exposure?

Risks of sensitive data exposure include identity theft, financial fraud, reputation damage, regulatory penalties, and loss of trust among customers or clients.

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August 12, 2023

What is Sensitive Data Exposure Vulnerability & How to Avoid It?

Organizations today hold a lot of consumer data. This data can range from their names and email addresses to social security numbers and banking...

July 24, 2023

What EdTech Companies Can Learn From FTC’s Recent Enforcement Action

Introduction The Federal Trade Commission (FTC) doesn’t shy away from enforcing actions against organizations that are violating laws put in place to protect the...

July 14, 2023

Everything you need to know about Exact Data Match Classification

Data is the most important asset for any organization and it’s their responsibility to keep it safe. That being said, in reality data breaches...

April 28, 2023

4 Types of Personal Data Under the California Consumer Privacy Act (CCPA)

Organizations collect and store vast amounts of people’s data to provide services and enhance those over time. Consumers, on the other hand, are usually...

April 20, 2023

How Data Classification Can Help You Comply with GDPR?

Data classification involves identifying and categorizing all data in a database based on their associated risk value. For instance, an EU resident's home address...

January 20, 2023

Need For Better Data Management: PPC Issues Report On Data Processing From Surgical Videos

On November 2, 2022, the Personal Information Protection Commission (PPC) in Japan issued a report on Star Japan LLC's handling, storage, sharing, and overall...

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August 25, 2022

How do CPRA treat sensitive personal information

For businesses globally, personal data is a highly vital asset. Used effectively, personal data can increase a business’s revenues tenfold and ensure it targets...

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August 31, 2021

6 Core Features of Sensitive Data Intelligence

Download PDF Share this Image On Your Site Please include attribution to https://securiti.ai with this graphic. Your Data+AI Command Center Enable Safe Use of...

May 17, 2021

What is Sensitive Data?

Organizations collect data from consumers every day. This data can range widely from a person's first and last name to confidential information such as...

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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

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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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AI Governance
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