This momentum is positive. It creates value and improves productivity. But it also opens up a new cyber exposure surface.
AI is not just another application within the information system. It changes the way data flows. Sensitive information is copied into prompts. Internal documents are transmitted to external services. Intelligent agents access APIs or interact with critical applications. And all of this often happens without a formal framework.
The risks quickly become very real: unintentional leakage of strategic data, exploitation through prompt injection, loss of traceability, proliferation of "Shadow AI." AI creates a new security perimeter.
The AI Act: Regulation Enters AI Governance
To this cyber dimension is now added a structuring regulatory framework. With the progressive implementation of the AI Act, the European Union clearly regulates the development and use of artificial intelligence systems.
The regulation is based on a risk-level approach and imposes, for certain use cases, strict obligations in terms of governance, transparency, human oversight, and data control.
For companies, this changes the perspective. It is no longer enough to experiment. Organizations must demonstrate that use cases are under control. They must be able to trace interactions, document decisions, and provide guarantees regarding data protection.
AI therefore becomes a topic at the intersection of cybersecurity, compliance, and corporate strategy.
Integrating AI Security into the Existing Architecture
Faced with these challenges, the temptation might be to add another specialized security tool. But multiplying technical layers often creates more complexity than security.
The approach adopted by Cato Networks is to integrate AI security directly within its cloud-native SASE platform. The idea is simple: treat AI usage as an additional flow to govern, just like network traffic or SaaS applications.
The integration of technologies resulting from the late-2025 acquisition of Aim Security provides granular visibility into AI usage, identifies unapproved applications, and controls interactions with models. Policies are unified. Controls are consistently enforced across users, sites, and remote access.
AI therefore ceases to be a blind spot. It becomes part of a global Zero Trust framework, with centralized governance and consolidated traceability.
Making AI Security Truly Operational
Technology is the foundation. But it is not enough.
Between the capabilities of a platform and the operational reality of an enterprise, there is always a gap. That gap is bridged through methodology, governance, and continuous operations.
This is where SASETY comes in, as a managed SASE and cybersecurity services operator. The engagement begins with a mapping of existing AI usage. It continues with the definition of clear rules aligned both with security requirements and the European regulatory framework. Controls are progressively deployed, adjusted, and supervised.
24/7 monitoring, alert management, policy fine-tuning, and the production of indicators for CISOs and compliance teams transform a technical capability into a truly controlled security framework.
The objective is not to slow down innovation. It is to make it sustainable.
In Conclusion: Innovation and Control Must Move Forward Together
Artificial intelligence represents a major opportunity for European companies. But this opportunity comes with a new requirement: consistency and control.
Adopting AI is a strategic decision.
Securing and governing it properly is now an essential condition.
