据mil-embedded网2020年1月26日报道，泰勒斯公司正在开发一种基于人工智能与大数据分析技术的网络攻击平台“赛博分析”软件，实现实时或不同时间段检测网络攻击，使不同用户在单一平台对每个部门的具体操作环境均采用人工智能算法。“赛博分析”是针对网络攻击的综合检测解决方案，将基于现有威胁分析与预先搜索使用先进人工智能和图形可视化模块技术实时威胁的监测统一起来，采用泰勒斯公司的机器学习算法，可集成到内部“安全操作中心”(SOC)，并作为云服务提供用户。

AI-based platform to detect cyberattacks

FRANCE. Thales introduced Cybels Analytics, a cybersecurity platform relying on artificial intelligence (AI) and Big Data analytics technologies. The platform is designed to detect cyber attacks in real time or in differed time (hunting). It operates as a single platform that allows individual users to adapt the AI algorithms to the specific operational context of each sector.

Cybels Analytics is a comprehensive attack detection solution. The platform combines real-time threat detection based on analysis of existing threats and preemptive search for advanced cyberattacks using artificial intelligence and graphic visualization modules.

The program uses machine learning algorithms developed by Thales to detect abnormal situations based on volumes of heterogeneous data from multiple sources to help identify attack patterns and previously unknown threats.

Cybels Analytics can be integrated with an on-premise Security Operations Centre (SOC) or provided as a service in the cloud. It is is also connected to the Thales Cyber Threat Intelligence service, intended to ensure a more exhaustive detection of untargeted attacks.