Let’s Talk Tech: Orange Research – AI, Cybersecurity, and Networks of the Future

How does Orange combine fundamental research and innovation? From cybersecurity to AI ethics, Lyse Brillouet, Director of Research at @Orange, and three experts discuss their most promising projects in the ParlonsTech podcast on the eve of #OrangeOpenTech.

Let’s Talk Tech, episode 21 with:

  • Lyse Brillouet, Director of Research and Intellectual Property at Orange
  • Kahina Lazri, Systems and Infrastructure Security Researcher at Orange
  • Jeanne Monnier, PhD student in AI Ethics at Orange
  • Gwénolé Lecorvé, Automatic Language Processing Researcher at Orange

Orange OpenTech, Orange’s innovation and research event, will take place from November 18 to 20, 2025. This edition will focus on innovation that creates value and drives collective progress, where technology and people come together to tackle the major technological challenges of today and tomorrow.

In June, at the VivaTech trade show, Orange announced the launch of Orange Quantum Defender, a solution designed to help businesses combat the quantum threat. Lyse Brillouet, the group’s director of research and intellectual property, explains that this announcement represents “a tangible transfer from research to business.” This innovation is based on the combination of two technologies: post-quantum cryptography (PQC) and quantum key distribution (QKD).

Orange’s research is at the heart of the innovation chain. It equips and arms the company to face a constantly changing world.

With more than 700 researchers and 100 doctoral students involved, Orange’s research is preparing the networks of the future, strengthening cybersecurity, and rethinking digital responsibility.

Fundamental research, a pillar of the group

Kahina Lazri, a researcher in systems and infrastructure security, explains in this episode that Orange’s innovations are also rooted in fundamental research projects: “Our work focuses on the formal verification of eBPF to ensure that no faulty program can compromise an infrastructure,” she explains. eBPF is a technology that allows code to be executed directly in the Linux kernel to improve network performance. This research, conducted in collaboration with Inria Paris, lies at the crossroads of language theory, formal verification, and operating system design.

Adapting AI to make it more accessible

In Rennes, Gwénolé Lecorvé, a researcher at Orange in automatic language processing, is working on the linguistic and cultural adaptation of language models. His team is seeking to make language models accessible to underrepresented languages, such as Wolof. “Large models do not always work for languages with limited resources. We have to teach them to speak these languages without making them forget the others,” he explains. To do this, researchers are creating synthetic data, i.e., fictional but plausible conversations, and designing rigorous evaluation methods.

Towards more ethical AI

Jeanne Monnier, a PhD student in AI ethics at Orange and winner of the 2024 “My Thesis in Three Minutes” award, explores the discriminatory biases present in traditional AI models. “The goal is for users to have confidence in the model they are using, and for a company like Orange to enable its customers to have confidence in the service provided to them,” she explains. This essential work involves creating a bridge between philosophy, sociology, law, and computer science in order to “translate these ethical definitions into mathematical formulas.”

Read also on Hello Future

Explainability of artificial intelligence systems: what are the requirements and limits?

Discover
Rob Wood (Harvard / CETI), deploying a drone in Dominica 

An AI to predict where sperm whales will surface

Discover
Two people are seated in front of a computer, discussing a project. Spools of thread are visible on the table.

How to avoid replicating bias and human error in LLMs

Discover

FoodProX uses machine learning to detect ultra-processed food

Discover

Machine learning shows fresh potential in urban renewal

Discover

Osmo: artificial intelligence learns to recognize smells

Discover
GettyImages - machine learning - research recherche

Machine-Learning-Based Early Decision-Making (ML-EDM)

Discover