At the 2020 edition of the International Cybersecurity Forum (FIC), Thales is unveiling Cybels Analytics, an innovative cybersecurity platform relying on advanced artificial intelligence and big data analytics technologies. The platform provides faster, sharper, more exhaustive detection of the most complex attacks in real time or proactively in differed time (hunting). It meets the needs of the most demanding customers, operating as a single, simple platform that even allows individual users to adapt the AI algorithms to the specific operational context of each sector. The cyberattack techniques that have emerged in recent years are increasingly complex and hard to detect. Despite growing awareness on the part of organisations, and frequent deployments of rules-based detection systems designed around well-known attack patterns, cybersecurity analysts also need to detect previously unknown threats, detect attacks more quickly and save time in conducting investigation analysis once a system has been compromised. Thales has developed Cybels Analytics, a comprehensive and advanced attack detection solution, to meet these needs. The innovative platform combines real-time threat detection based on analysis of existing threats (cyber threat intelligence) and proactive search for advanced and unprecedented cyberattacks (cold investigation or hunting), thanks to artificial intelligence and graphic visualization modules. These capabilities significantly reduce the time taken to detect advanced persistent threats from three months in average to just a few days, according to test results. Cybels Analytics uses machine learning algorithms developed by Thales to detect abnormal situations based on huge volumes of heterogeneous data from multiple sources (network data, end point analysis, OT logging etc.), helping to identify attack patterns and discover previously unknown threats. These algorithms, based on the principles of Thales TrUE AI, can be tailored to the specific needs of each business sector of activity by customers themselves via an easy to-use graphical interface. Cybels Analytics can be integrated with an on-premise security operations centre (SOC) or provided as a service in the cloud, enabling all the user’s detection systems (SIEM, EDR, NIDS etc.) to work together and complement one another. The platform is an important addition to Thales’s cybersecurity offering, rounding out the range of managed services provided through its SOC network and supporting the Cybels Sensor trusted probe, which is accredited by France’s National Agency for Information System Security (ANSSI). Cybels Analytics is also connected to the Thales Cyber Threat Intelligence service. By cross-referencing information about existing cyberthreats with an organisation’s system logs, Cybels Analytics ensures more acute, more exhaustive detection of untargeted attacks, revealing three times more indicators of compromise detection than conventional attack detection products. “We developed Cybels Analytics to help cybersecurity analysts overcome the challenges they face on a daily basis: growing data volumes, long detection times and investigation procedures, and the difficult task of qualifying previously unknown situations. Cybels Analytics is a trusted solution that delivers more efficient results, more simply and in a significantly shorter timeframe so that users can focus on value-added tasks in an area where talent is scarce and needs are constantly rising,” said Laurent Maury, Vice President, Cybersecurity and Critical Information Systems, Thales.
