Intelligent CIO Europe Issue 31 | Page 57

FEATURE: ARTIFICIAL INTELLIGENCE Furthermore, an overstretched workforce can’t afford to waste time on unimportant issues, that’s why companies require surveillance systems that identify threats with precision, minimising false alarms. In a situation where only a limited number of security staff are allowed at the premises, filtering out unnecessary alerts means resources are optimised and businesses safeguarded, without putting employees at risk. As security threats change and businesses adjust to a new norm, video surveillance must evolve accordingly – and what better way to power this evolution than with a disruptive technology like AI? If businesses look beyond the flashy facade, real advantage can be obtained by enhancing video management systems with AI elements, and now – with the world facing an unprecedented crisis and companies battling new challenges – is the time to take the leap. 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 realtime threat detection based on analysis of (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 WHAT BETTER WAY TO POWER THIS EVOLUTION THAN WITH A DISRUPTIVE TECHNOLOGY LIKE AI? Thales unveils AI platform Thales, a service provider for transportation and security markets, appears to be taking the leap by unveiling its new AI-based platform to detect the most complex cyberattacks. Thales’ new Cybels Analytics platform combines several approaches to attack detection and forensics in a single tool for real-time detection and hunting of the most complex cyberattacks, including previously unknown threats, thanks to AI algorithms applying the principles of Thales True AI. At the 2020 edition of the International Cybersecurity Forum (FIC) at the start of the year, Thales successfully unveiled Cybels Analytics, an innovative cybersecurity platform relying on advanced AI 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, Laurent Maury, Vice President, Cybersecurity and Critical Information Systems, Thales existing threats (Cyberthreat Intelligence) and proactive search for advanced and unprecedented cyberattacks (‘cold’ investigation or hunting), thanks to AI and graphic visualisation modules. These capabilities significantly reduce the time taken to detect advanced persistent threats, from three months on 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 (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). While it often takes weeks to build a complete picture of an organisation’s information system using standard investigation products, Cybels Analytics shortens this process to just a few hours. Laurent Maury, Vice President, Cybersecurity and Critical Information Systems, Thales, said: “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.” • www.intelligentcio.com INTELLIGENTCIO 57