Applicability of the EU AI Act

The modern business environment necessitates organizations to be highly proactive in all matters relevant to them. The same principle applies to regulatory compliance, where businesses need to be aware of how the latest regulations apply to them and what changes they'll need to make within their current operations to remain compliant.

Most businesses find themselves in a challenging position regarding the AI Act, unsure of the specific obligations they’re subject to owing to the AI Act’s unorthodox approach to applicability and how varied the relevant obligations can be depending on an organization’s relationship with the AI system.

Securiti’s infographic helps with the first and the most important step of regulatory compliance: assessing the applicability of a regulation. Once you have determined if and in what capacity the EU AI Act applies to you, Securiti can enable you to identify and comply with the relevant obligations.

DOWNLOAD INFOGRAPHIC

Award-winning technology, built by a proven team, backed by confidence. Learn more.

Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024, commonly referred to as ‘the EU AI Act’, is the world’s first comprehensive AI regulation. Laying down a uniform legal framework for the development and use of AI, the EU AI Act entered into force on August 01, 2024, and will become applicable in a graduated approach.

This infographic will help you determine the applicability of the EU AI Act by visualizing applicability triggers for different types of covered entities. By following the flowchart, you can determine whether and in what capacity you are subject to the provisions of the EU AI Act.

Applicability of the EU AI Act

Frequently Asked Questions Related to the EU AI Act Applicability

The AI Act will enter into force on 01 August 2024, the 20th day following its publication in the EU Official Journal. However, different provisions of the AI Act will become applicable in a graduated manner starting from 02 February 2025.

The AI Act defines four distinct risk categories: minimal, limited, high, and unacceptable. Each categorization carries specific compliance obligations, requiring organizations to undertake various measures. AI systems classified as high or unacceptable face the strictest obligations, which include thorough documentation and regular conformity assessments.

AI developers based outside the EU will also be subject to the AI Act’s provisions if the output produced by their AI systems is used in the EU.

Yes, certain AI systems are exempt from the AI Act’s provisions. These include AI systems that are deemed to be essential for safeguarding public security or are to be used exclusively for military purposes.

Penalties for non-compliance with the AI Act’s provisions can be quite severe, including fines as high as 6% of the organization's global annual turnover.

All-in-One Solution For Your Business Needs

The Multi-disciplinary practice to grow trust-equity of your brand and comply with privacy regulations

The Toxic Combination Problem in DataAI Risks

Discover how siloed security alerts create hidden toxic risk combinations and how correlated context helps reduce alert fatigue and uncover compound risks faster.

The Cloud Storage Bill Nobody Reads

Hidden cloud storage costs add up fast. Learn how redundant, obsolete, and trivial data drives unnecessary spend, expands risk, and why automated data minimization matters.

“The Algorithm Did It” Is Now Dead in Court

Discover why organizations are now liable for AI-generated content and how ROT data minimization, AI governance, and Agent Commander reduce legal, security, and compliance risks.

EU’s Transparency Code of Practice: Watermark To Warning Label

This infographic breaks down the key transparency obligations for both deployers and providers under the AI Act’s Article 50 Code of Practice. Access it now.

You Can’t Protect What You Can’t See

Discover why disconnected security findings create hidden breach paths, why 57% of organizations can't prove data flows, and how to identify toxic risk combinations before they lead to costly incidents.

Agentic AI Security: OWASP Top 10 with Enterprise Controls

Map the OWASP Top 10 risks for agentic AI to enterprise-grade controls, identity, data security, guardrails, monitoring, and governance to stop autonomous AI abuse.

You Can’t Protect What You Can’t See

Discover why disconnected security findings create hidden breach paths, why 57% of organizations can't prove data flows, and how to identify toxic risk combinations before they lead to costly incidents.

How Securiti Complements Purview Across the Data Estate

Discover how to extend Microsoft Purview beyond M365, close governance gaps, enforce policies consistently, and secure data across your enterprise.

ROT Data Minimization

Eliminate redundant, obsolete, and trivial (ROT) data to improve AI accuracy, reduce storage costs, and minimize security and compliance risks at scale.

Compliance with CCPA Amendments with Securiti

Stay compliant with 2026 CCPA amendments using Securiti, covering updated consent requirements, expanded sensitive data definitions, enhanced consumer rights, and readiness assessments.

See the platform live

Ready to see DataAI Command Platform in action?

See how your team can discover sensitive data, reduce risk, and secure AI usage from one command center.

Book a demo
Demo BG Book a demo
Videos
View More
Rehan Jalil, Veeam on Agent Commander : theCUBE + NYSE Wired: Cyber Security Leaders
Following Veeam’s acquisition of Securiti, the launch of Agent Commander marks an important step toward helping enterprises adopt AI agents with greater confidence. In...
View More
Mitigating OWASP Top 10 for LLM Applications 2025
Generative AI (GenAI) has transformed how enterprises operate, scale, and grow. There’s an AI application for every purpose, from increasing employee productivity to streamlining...
View More
Top 6 DSPM Use Cases
With the advent of Generative AI (GenAI), data has become more dynamic. New data is generated faster than ever, transmitted to various systems, applications,...
View More
Colorado Privacy Act (CPA)
What is the Colorado Privacy Act? The CPA is a comprehensive privacy law signed on July 7, 2021. It established new standards for personal...
View More
Securiti for Copilot in SaaS
Accelerate Copilot Adoption Securely & Confidently Organizations are eager to adopt Microsoft 365 Copilot for increased productivity and efficiency. However, security concerns like data...
View More
Top 10 Considerations for Safely Using Unstructured Data with GenAI
A staggering 90% of an organization's data is unstructured. This data is rapidly being used to fuel GenAI applications like chatbots and AI search....
View More
Gencore AI: Building Safe, Enterprise-grade AI Systems in Minutes
As enterprises adopt generative AI, data and AI teams face numerous hurdles: securely connecting unstructured and structured data sources, maintaining proper controls and governance,...
View More
Navigating CPRA: Key Insights for Businesses
What is CPRA? The California Privacy Rights Act (CPRA) is California's state legislation aimed at protecting residents' digital privacy. It became effective on January...
View More
Navigating the Shift: Transitioning to PCI DSS v4.0
What is PCI DSS? PCI DSS (Payment Card Industry Data Security Standard) is a set of security standards to ensure safe processing, storage, and...
View More
Securing Data+AI : Playbook for Trust, Risk, and Security Management (TRiSM)
AI's growing security risks have 48% of global CISOs alarmed. Join this keynote to learn about a practical playbook for enabling AI Trust, Risk,...

Spotlight Talks

Spotlight 59:11
Data Controls for AI: Findings from the 2026 GigaOm DSPM Research
Watch Now View
Spotlight 1:02:06
Consent by proxy: When AI agents start deciding for us
Watch Now View
Spotlight 1:00:41
Future-Proofing for the Privacy Professional
Watch Now View
Spotlight 50:52
From Data to Deployment: Safeguarding Enterprise AI with Security and Governance
Watch Now View
Spotlight 11:29
Not Hype — Dye & Durham’s Analytics Head Shows What AI at Work Really Looks Like
Not Hype — Dye & Durham’s Analytics Head Shows What AI at Work Really Looks Like
Watch Now View
Spotlight 11:18
Rewiring Real Estate Finance — How Walker & Dunlop Is Giving Its $135B Portfolio a Data-First Refresh
Watch Now View
Spotlight
Choosing the Right DSPM: An Industry Analyst’s Perspective
Watch Now View
Spotlight 13:38
Accelerating Miracles — How Sanofi is Embedding AI to Significantly Reduce Drug Development Timelines
Sanofi Thumbnail
Watch Now View
Spotlight 10:35
There’s Been a Material Shift in the Data Center of Gravity
Watch Now View
Spotlight 14:21
AI Governance Is Much More than Technology Risk Mitigation
AI Governance Is Much More than Technology Risk Mitigation
Watch Now View
Latest
Australia’s Office of AI: Why Annual Audits Miss What Your AI Can Reach View More
Australia’s Office of AI: Why Annual Audits Miss What Your AI Can Reach
Picture this: a fictional but entirely plausible scenario. An Australian financial institution's AI systems spend six months accessing a customer data repository nobody has...
View More
A Complete DSPM Needs Classification and Context
Classification is one of the core functions a DSPM program handles, and it usually runs in tandem with discovery, since together they form the...
The EU Cyber Resilience Act (CRA): A Complete Guide for Compliance View More
The EU Cyber Resilience Act (CRA): A Complete Guide for Compliance
Here’s what you need to know about the EU’s Cyber Resilience Act (CRA), including the best solutions to aid your compliance efforts. Read on...
What is Access Control? Definition, Types, & Components View More
What is Access Control? Definition, Types, & Components
Discover what access control is, how it works, types, components, importance in ensuring regulatory compliance, and much more.
Stop Storing Risk: An Executive's Guide to ROT Data Minimization View More
Stop Storing Risk: An Executive’s Guide to ROT Data Minimization
An executive's guide to reducing redundant, obsolete, and trivial (ROT) data to cut storage costs, shrink your attack surface, and improve compliance.
The Context Layer for Data+AI Security View More
The Context Layer for Data+AI Security
Discover how Securiti’s DataAI Command Graph connects data, identity, cloud, and AI findings to uncover contextual risk and toxic combinations.
The Toxic Combination Problem in DataAI Risks View More
The Toxic Combination Problem in DataAI Risks
Discover how siloed security alerts create hidden toxic risk combinations and how correlated context helps reduce alert fatigue and uncover compound risks faster.
The Cloud Storage Bill Nobody Reads View More
The Cloud Storage Bill Nobody Reads
Hidden cloud storage costs add up fast. Learn how redundant, obsolete, and trivial data drives unnecessary spend, expands risk, and why automated data minimization...
View More
Take the Data Risk Out of AI
Learn how to prepare enterprise data for safe Gemini Enterprise adoption with upstream governance, sensitive data discovery, and pre-index policy controls.
View More
Navigating HITRUST: A Guide to Certification
Securiti's eBook is a practical guide to HITRUST certification, covering everything from choosing i1 vs r2 and scope systems to managing CAPs & planning...
What's
New