Effective Timeline of the EU’s AI Act

This infographic will provide you with:

  • A detailed breakdown of each phase of the AI Act's implementation and key compliance dates;
  • Specific obligations for AI providers at each stage, including what exact requirements will come into effect under each date;
  • Various other resources that regulatory bodies will release during this enforcement timeline may help organizations in their AI Act compliance journey.

DOWNLOAD INFOGRAPHIC


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


The European Union (EU)’s Artificial Intelligence (AI) Act has already become the global benchmark for AI regulations. It has been designed to ensure that all AI technologies and capabilities being developed are ethical, transparent, and compliant with the regulatory requirements. It is also the most comprehensive such regulation, with various chapters and their subsequent obligations taking effect in a phased 5-year timeline.

Securiti’s latest infographic provides a clear and concise breakdown of this enforcement timeline. It highlights the key dates and the necessary obligations that will occur under each date. Download it now to start your AI Act compliance journey.

Effective Timeline of the EU’s AI Act

People Also Ask

Some of the most commonly asked questions related to the timeline of the EU’s AI Act:

The AI Act imposes strict penalties for those who violate its provisions. The exact fine amount can depend on various factors, but it can be up to €35 million or 7% of the company’s global annual turnover for the preceding financial year (whichever is higher). The structured penalty system allows for effective enforcement of the regulation across all entities that are subject to it.

The AI Office is responsible for developing methods to assess general-purpose AI models and their relevant associated risks. It also plays a central role in developing and approving codes of practice for AI systems, ensuring their functionalities align with the AI Act and other regulatory requirements across the EU. 

The European Commission aims to enforce post-market monitoring of AI systems by continuously assessing and overseeing them after they’ve been placed on the market. The Commission has already issued guidelines that specify these post-market monitoring plans, ensuring the deployed AI systems can remain regulatory compliant after being placed on the market.

The AI Act explicitly bans such AI systems. The regulation has a tiered risk categorization framework. Under this framework, any AI system that can be used in social scoring or exploiting users’ biometric data to identify them based on their ethnicity, gender, political views, or any other trait is strictly prohibited to prevent any potential misuse of AI in critical areas such as employment, law enforcement​, education, or access to specific services. 

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...
View More
What Is Enterprise AI Security? A Beginner’s Guide
Learn what enterprise AI security is, why it matters, the key risks organizations face, and how to protect AI systems, agents, models, data, and...
View More
What is Data Transparency? Why it Matters for the Modern Enterprise
Learn what data transparency is, why it matters, and how organizations can improve visibility, accountability, governance, trust, and responsible data use.
View More
Privacy RFP Buyer’s Guide: 120+ Questions to Evaluate Privacy Automation Platforms
Download the Privacy RFP Buyer’s Guide with 120+ practical questions to evaluate privacy automation platforms across compliance, security, integrations, governance, and scalability.
View More
Green-Light AI, Not Data Exposure
Learn the five critical data-layer controls enterprises need to prevent sensitive data exposure and enable secure, scalable AI agent adoption.
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