Darktrace has enhanced its flagship AI cybersecurity platform with 70 additional machine learning models and over 80 new features. The Cambridge-based firm was founded by mathematicians and cyber defense experts in 2013 and uses self-learning AI to protect enterprises across all industry sectors. Machine learning is used to make thousands of "micro-level" decisions in the background as part of Darktrace's autonomous response technology called Antigena. Antigena has been improved with 70 new machine learning models to bolster its ability to autonomously neutralise attacks in real-time. "The hallmark of a great AI solution is the ability to surpass automation to seamlessly blend into users' everyday work rhythm," said Jack Stockdale OBE, CTO of Darktrace.

Darktrace, a cybersecurity firm from Britain, has made an official statement that one of its customers successfully blocked the invasion of Babuk ransomware onto their network by using the company's Automated Response technology, titled Antigena. Antigena is a self learning tech-form that knows how to detect, respond and investigate cyber attacks. And as it is fairly backed by Artificial Intelligence (AI), it can also block emerging cyber threats in real-time. Ransomware threat has become a headache to most CIOs and CTOs of corporate companies. DarkTrace AI can detect any abnormalities in a network by scanning out performance issues and unusual connection requests and alert the admin about any possibilities of malware intrusion.

Las Vegas's search for an adaptive security solution led it to deploy Darktrace AI across its enterprise, cloud and industrial networks. Background In recent years, Las Vegas has become a prototypical Smart City. As riders glide down the Strip aboard the first completely autonomous shuttle ever deployed on a public roadway, they are unlikely to notice much trash on the sidewalk – the city's surveillance cameras stream to an AI service that directs clean-up crews towards concentrations of litter. And when rush hour approaches, its passengers can rest assured that an array of connected sensors are helping officials anticipate gridlock at busy intersections. But while smart infrastructure enables Las Vegas to achieve new heights of efficiency, conventional security tools are largely ill-equipped to defend the hybrid cloud and industrial networks that power this infrastructure.

To improve the security of patient health data, it seems only natural that a healthcare organization would choose security software modeled after the human immune system. There's no magic bullet or single software that can fully secure your healthcare organization – but there are strategies that can help. In this e-guide, get free advice from healthcare CIOs and CISOs to help bolster your cybersecurity plan. You forgot to provide an Email Address. This email address doesn't appear to be valid.

Security system that look at past attacks to help deal with future ones are deeply flawed. Here's an alternative approach that uses the latest machine learning tech. It's no secret that there's a constant game of cat and mouse playing out between hackers and security experts, with both sides working their hardest to stay ahead of the other. While hackers and assorted cyberattackers are always on the lookout for new vulnerabilities to exploit, however, unfortunately security systems can be a bit backwards looking in their approach -- relying on digging back in the archives to try and see how future hacks may play out. That's what Antigena, a machine learning security system developed by British cybersecurity startup DarkTrace is trying to change.

Darktrace's "digital antibodies" have stopped one Brexit-themed data protection threat: while trialling the machine-learning anti-hacking system's latest security automation tool, one company was alerted to an insider threat. A previously well-behaved employee reacted angrily to their employers' strategy for dealing with Brexit by digging out confidential documents with the aim of leaking them, but the would-be Julian Assange was spotted by Darktrace's Antigena, which not only uses machine learning to hunt for threats but also automates the response. "It's an interesting example, not because of Brexit, but because this staffer never leaked anything in the past," Dave Palmer, DarkTrace's director of technology tells WIRED – making such a threat hard for human colleagues to spot. "The documents were blocked from leaving the organisation." The British cybersecurity startup uses machine learning to hunt for odd behaviour on corporate systems, meaning its Enterprise Immune System can spot zero-days and other hard to find attacks.