European companies appoint AI directors

For several months, numerous appointments to the position of Director of AI within companies have been observed, indicating a major awareness among European companies regarding the importance of artificial intelligence. This trend reflects a growing recognition of the role AI plays in business operations and the need for dedicated leadership to manage its use.

EU AI Act regulations take effect

Since August 2, 2026, a large part of the obligations of the EU AI Act has come into effect, signaling a significant shift in how AI is perceived and managed within organizations. This legislation aims to regulate AI development and deployment across the European Union, focusing on safety, transparency, and accountability.

Compliance is not enough

However, a strategic error is repeated in many organizations: treating the EU AI Act as a simple compliance checklist. This approach is considered dangerously reductive and could be costly for companies in the coming months. The risk does not lie in the model itself, but in its use, highlighting a gap between regulatory adherence and actual risk mitigation.

AI governance misses daily usage

The EU AI Act establishes legal obligations for AI systems within its scope, which is necessary. However, it does not answer the fundamental question that every CISO should ask: how do employees actually use AI on a daily basis? What sensitive data is transmitted through these tools? And above all, how to anticipate attacks that exploit these same technologies to bypass our defenses?

Ghost AI remains a hidden risk

A structural problem that European executive committees may underestimate is the presence of "ghost AI" that circulates without approval or control. When nearly half of the organizations have not identified the AI systems used internally, how can they claim to master the risks? Without this visibility, leadership cannot confirm that its policies are followed, nor measure its actual exposure.

Three complementary frameworks

Faced with this challenge, European organizations must understand that there is no miracle framework, but three complementary approaches that each address a different question. The NIST AI Risk Management Framework provides a robust structure for risk assessment and monitoring. The ISO/IEC 23894 and 42001 standards allow for the creation of repeatable processes and the anchoring of responsibility in management systems.

Unified structure needed

The most robust approach is to use NIST as the operational backbone for risk assessment, ISO for governance maturity, and the EU AI Act for legal obligations, all within a unified structure. This integration determines an organization's ability to move from a reactive posture to a proactive one where each governance objective is linked to a verifiable operational control.

Five pillars of AI governance

Transforming regulatory obligations into an operational security program requires five essential pillars. The first is to establish a unified reference framework combining NIST, ISO, and the EU AI Act within a single structure. The second requires a complete mapping of actual usage: approved systems, copilots, autonomous agents, third-party integrations, with clear identification of responsible parties.

Prioritization and controls

The third pillar is based on intelligent prioritization according to business impact. A prompt containing public information does not carry the same risk as a prompt with customer data. Controls must be segmented according to this real impact. The fourth pillar requires associating each governance objective with a concrete operational control: data classification, access management, DLP, usage monitoring.

Measuring risk reduction

Finally, the fifth pillar requires measuring effective risk reduction, not compliance activity. The indicators must be concrete: measurable reduction in sensitive data sharing with AI tools, decrease in incidents, reduction in excessive permissions. These tangible metrics will prove the program's value to leadership.

Operational governance is urgent

AI governance is played out every day in the way teams actually use AI, in the flow of data, and in the ability to anticipate how attackers will exploit these tools. For European leaders, the challenge for the next quarters is to transform the obligations of the EU AI Act into a measurable operational security program aligned with business priorities.

Closing the governance gap

When two-thirds of employees hide their use of AI and 78% of French companies are not fully convinced that their current security controls would detect a compromised AI, it has become urgent to move from theoretical governance to operational governance. Without visibility on actual usage, without technical controls associated with policies, and without measurement of effective risk reduction, no organization can claim to master the challenges of AI.