AI and cybersecurity: how to anticipate compliance with the AI Act
The entry into force of the AI Act defines the new framework for European innovation, reconciling technology and the protection of fundamental rights. For DPOs and CISOs, this regulation imposes increased vigilance on the “red lines” of Article 5, such as cognitive manipulation or social scoring. The success of your compliance now depends on integrated governance, linking the requirements of the AI Act to the rigor of the GDPR to ensure a sovereign and secure growth trajectory.
The AI Act's implementation outlines Europe's ambition to reconcile technological innovation with the protection of our democratic principles. For cybersecurity and compliance professionals, this legislation should not be viewed as a rigid set of prohibitions, but rather as an evolving framework. Although 'red lines' have been established, their precise boundaries may be further defined by future case law. In this context, prudence and foresight are essential to ensure sustainable and sovereign growth.
Article 5 of the AI Act: anticipate prohibitions and case law
Article 5 of the AI Act identifies categories of use that are incompatible with the values of the European Union. These include cognitive manipulation, social scoring and real-time biometric identification in public spaces. However, a degree of caution is necessary, as concepts such as 'manipulation' and 'psychological harm' are open to interpretation. Over time, it is likely that courts and regulatory entities (such as the AI Office) will provide the necessary clarifications for their practical application.
An organisation could inadvertently deploy emotion inference systems in a professional environment, for instance via HR management or customer relationship tools, which would be risky. What might be perceived as a simple well-being initiative could, depending on the context, slip into a zone of non-compliance. Vigilance is therefore essential, not out of fear of the regulator, but for the sake of ethical consistency and legal certainty.
RGPD and AI Act convergence: towards integrated data governance
A responsible data strategy hinges on the relationship between the GDPR and AI. While the AI Act prioritises system security, the GDPR continues to protect individuals. The integrity and quality of training datasets (whether personal or otherwise) are now also subject to this dual requirement, which reinforces the need for centralised documentation. Adopting a Privacy by Design approach enables the proportionality of projects to be assessed before development costs become critical.
Mature governance is reflected in the systematic documentation of decision-making processes, including those that lead to a project being abandoned. This 'compliance traceability' is not just a constraint; it is an industrial-grade quality filter that demonstrates real risk management and ensures the long-term stability of the technological asset.
Digital sovereignty and cyber-resilience: the challenges of secure SaaS
In the Big Data era, our dependence on opaque AI models raises questions about digital sovereignty. The risk of algorithms recreating sensitive categories through the simple correlation of large amounts of data highlights the importance of having control over one's production tools. Prioritising secure and sovereign SaaS solutions is not merely an ideological stance, but a strategic choice aimed at limiting exposure to extraterritorial legislation.
The development of an internal AI charter aligned with GDPR policy could set a new standard for organisations that are mindful of their ethics. Rather than being restrictive, this document provides a framework that promotes sustainability for employees and clients alike. The key is to define what we choose to delegate to the machine and what we reserve for human judgement.
Making AI compliance a competitive advantage
The AI Act invites us to consider the role of technology in our societies. By approaching compliance with rigour and moderation, French organisations can transform these requirements into a competitive advantage — namely, reliability. Effectively managing this transformation requires the right tools to reconcile regulatory complexity with operational reality and build robust, lasting solutions.
Secure your projects today: request a personalized demonstration of Adequacy.
FAQ: everything you need to know about the AI Act and data protection
What are the deadlines for complying with the AI Act?
The timeline is phased. Since 2 February 2025, systems posing an 'unacceptable risk' have been prohibited. Since 2 August 2025, General-Purpose AI (GPAI) models have been subject to their first set of obligations. The key milestone is 2 August 2026, when the entire regulation will become fully applicable, particularly with regard to high-risk AI.
How to interpret the risk of emotional inference according to the IA Act?
The AI Act (Art. 5) already prohibits these systems in education and the workplace, except for medical or safety reasons. Caution is advised for other sectors: the CNIL and the AI Office are currently defining the criteria for 'psychological harm' to prevent customer relationship tools from crossing into behavioural manipulation.
What is the role of the DPO in AI compliance?
The anticipated designation of the CNIL as the sole oversight authority for AI in France further emphasises the pivotal role of the DPO. As an accountability expert, the DPO ensures the stability and legal sustainability of AI projects by orchestrating global compliance.
Why is digital sovereignty a cybersecurity imperative?
Security is not only technical, but also legal. Extraterritorial laws, such as the Cloud Act, allow foreign authorities to demand access to data stored by providers under their jurisdiction, including on European servers. Sovereignty ensures that your information system remains under the exclusive control of European and French law, neutralising any risk of legalised economic espionage.
