Our daily lives are becoming increasingly digital, and computer networks continue to grow in both size and complexity. The traffic they carry is becoming denser and more diverse: banking transactions, health data, private communications, etc.
With the rise of so-called intelligent technologies — smart homes, smart cities, personalized medicine — the number of connected devices is expected to exceed 50 billion by the end of 2025. These devices, though ubiquitous, are often poorly secured: neglected updates, weak passwords, outdated protocols.
In this context, computer networks are prime targets for cybercriminals, who benefit from an ever-expanding attack surface. Designing effective and robust cybersecurity solutions has thus become a critical challenge — a fast-moving research field, but also an increasingly complex one.

We’ve been hearing a lot about agents lately — articles and posts are overflowing with the term “Agentic AI” (and now, this one too 👀). But is it really something new? Back in the 1990s, people were already talking about agents and describing them as entities that operate continuously and autonomously within a dynamic and evolving environment. Others took a more philosophical approach, defining agents as entities whose internal state is represented by mental concepts such as beliefs, abilities, choices, and commitments. Their actions are constrained and governed by fixed rules.

The Silent Invasion of AI Content​

A large portion of content on the Internet is becoming AI-generated. The gradual integration of LLMs (Large Language Models) into our daily lives is democratizing and simplifying their use. Social media platforms have become true gold mines for this type of content: more and more users are relying on ChatGPT or Mistral’s LeChat to write or rewrite their posts before publishing them (maybe this post went through that too? 👀). A striking example is Quora, where AI-generated content rose from 2% in 2022 to ~38% in 2024!