Securiti leads GigaOm's DSPM Vendor Evaluation with top ratings across technical capabilities & business value.

View

Article 9: Risk Management System | EU AI Act

Contributors

Anas Baig

Product Marketing Manager at Securiti

Syed Tatheer Kazmi

Associate Data Privacy Analyst, Securiti

CIPP/Europe

Article 9 of the AI Act contains details related to the risk management system that organizations are obligated to have deployed within their operations and products.

Per these requirements, organizations must establish, implement, document, and maintain a risk management system associated with a high-risk AI system. Such a system should be continuous and meticulously planned to ensure it runs throughout the system's lifecycle.

The risk management system shall consist of the following steps:

  • The appropriate identification and analysis of all known and foreseeable risks to the  health, safety or fundamental rights when the high-risk AI system is used for its intended purpose;
  • The estimation of the likelihood of the foreseeable risks emerging when the high-risk AI system is used for its intended purposes;
  • Evaluation of all other relevant risks based on the data analysis gathered by the post-market monitoring system;
  • The adoption of appropriate risk management practices and measures to adequately address the identified risks.

This Article only addresses risks that can be reasonably mitigated or eliminated through AI system design, development, or providing adequate technical information.

Risk management measures should consider the combined effects of requirements to minimize risks effectively, achieving a balance between risk mitigation and implementation. They should also ensure that residual risks are acceptable for each hazard and the overall AI system, thereby identifying the most appropriate measures to minimize risks to an acceptable level.

To that end, the following measures should be taken:

  • Elimination or reduction of identified risks as far as technically feasible through adequate design and development of the high-risk AI system;
  • Implementation of adequate mitigation and control measures to address the risks that cannot be eliminated;
  • Providing deployers with the necessary information and training to mitigate risks, considering their technical expertise, experience, and expected use case, to ensure the safe deployment of high-risk AI systems.

The high-risk AI system should be tested to identify effective and targeted risk management measures. Such tests shall ensure consistent performance of the AI system compliance with the requirements set out under the provisions of this Act. Such tests may also include testing in real-world conditions.

These tests may be conducted at any time during the development process before they are made available on the market or put into service. In any case, when implementing these risk management measures, the provider must properly consider whether the intended purpose of the high-risk AI system will adversely impact persons under the age of 18 or other vulnerable groups.

Join Our Newsletter

Get all the latest information, law updates and more delivered to your inbox


Share


More Stories that May Interest You

Videos

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

DSPM vs. CSPM – What’s the Difference?

While the cloud has offered the world immense growth opportunities, it has also introduced unprecedented challenges and risks. Solutions like Cloud Security Posture Management...

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 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
Spotlight 12:!3

You Can’t Build Pipelines, Warehouses, or AI Platforms Without Business Knowledge

Watch Now View
Spotlight 47:42

Cybersecurity – Where Leaders are Buying, Building, and Partnering

Rehan Jalil
Watch Now View
Spotlight 27:29

Building Safe AI with Databricks and Gencore

Rehan Jalil
Watch Now View
Spotlight 46:02

Building Safe Enterprise AI: A Practical Roadmap

Watch Now View
Spotlight 13:32

Ensuring Solid Governance Is Like Squeezing Jello

Watch Now View
Spotlight 40:46

Securing Embedded AI: Accelerate SaaS AI Copilot Adoption Safely

Watch Now View
Spotlight 10:05

Unstructured Data: Analytics Goldmine or a Governance Minefield?

Viral Kamdar
Watch Now View

Latest

View More

Securiti Accelerates Secure Agentic AI Deployments with NVIDIA Enterprise AI Factory

Still adapting to  the initial Gen AI boom, the IT industry is now undergoing another profound evolution- the rise of Agentic AI. AI has...

Identify Toxic Combinations of Risks View More

Identify Toxic Combinations of Risks: Detect & Prioritize Alerts Intelligently

Enterprise security teams navigate a complex security stack, relying on a diverse suite of specialized yet siloed security tools. Picture a typical enterprise SOC...

Understanding Data Regulations in Australia’s Telecom Sector View More

Understanding Data Regulations in Australia’s Telecom Sector

1. Introduction Australia’s telecommunications sector plays a crucial role in connecting millions of people. However, with this connectivity comes the responsibility of safeguarding vast...

Understanding Saudi Arabia’s Global AI Hub Law View More

Understanding Saudi Arabia’s Global AI Hub Law

Gain insights into Saudi Arabia’s Global AI Hub Law - a legal framework for operating various types of data centers referred to as Hubs....

ROPA View More

Records of Processing Activities (RoPA): A Cross-Jurisdictional Analysis

Download the whitepaper to gain a cross-jurisdictional analysis of records of processing activities (RoPA). Learn what RoPA is, why organizations should maintain it, and...

Managing Privacy Risks in Large Language Models (LLMs) View More

Managing Privacy Risks in Large Language Models (LLMs)

Download the whitepaper to learn how to manage privacy risks in large language models (LLMs). Gain comprehensive insights to avoid violations.

Comparison of RoPA Field Requirements Across Jurisdictions View More

Comparison of RoPA Field Requirements Across Jurisdictions

Download the infographic to compare Records of Processing Activities (RoPA) field requirements across jurisdictions. Learn its importance, penalties, and how to navigate RoPA.

Navigating Kenya’s Data Protection Act View More

Navigating Kenya’s Data Protection Act: What Organizations Need To Know

Download the infographic to discover key details about navigating Kenya’s Data Protection Act and simplify your compliance journey.

Gencore AI and Amazon Bedrock View More

Building Enterprise-Grade AI with Gencore AI and Amazon Bedrock

Learn how to build secure enterprise AI copilots with Amazon Bedrock models, protect AI interactions with LLM Firewalls, and apply OWASP Top 10 LLM...

DSPM Vendor Due Diligence View More

DSPM Vendor Due Diligence

DSPM’s Buyer Guide ebook is designed to help CISOs and their teams ask the right questions and consider the right capabilities when looking for...

What's
New