
French R&D startup using Bayesian networks for unsupervised machine behavior-based IDS.

French R&D startup using Bayesian networks for unsupervised machine behavior-based IDS.
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Akheros is a French cybersecurity R&D startup that develops machine learning-based intrusion detection technology using Bayesian networks. The company was recognized with two national innovation awards in France: the 2013 "Concours national entreprises innovantes" and the 2014 "Concours Mondial Innovation," both awarded by BPI (Banque Publique d'Investissement) under the French Presidency. The core technology developed by Akheros consists of resident cybersecurity learning Bayesian networks. These networks are designed to learn the informational behavior of individual machines and construct an unsupervised Bayesian network for each machine. The system is built to anticipate, detect, and prevent offensive or anomalous behaviors originating from other machines, operating without requiring supervised training data. Akheros targets Advanced Persistent Threats (APTs) and is designed for machine-to-machine (M2M) environments. The platform covers intrusion detection, forensic analysis, and deterrence responses. The solution is distributed in two models: as an autonomous OEM component that can be embedded into third-party products, and as a Software-as-a-Service (SaaS) offering. This dual distribution approach positions the technology for integration into existing cybersecurity infrastructure as well as standalone deployment.