The use of artificial intelligence (AI) is hugely prevalent in almost all aspects of our day-to-day lives including security. Looking at the security landscape, supervised machine learning (ML) is well established in threat detection but unsupervised ML and deep learning are increasingly popular tools for post breach anomaly detection. By Jeremy D’Hoinne, Research Vice President, Gartner.
Read MoreAlmost four in 10 people in the EU began working remotely in the first few months of 2020, according to a study carried out by Eurofund. This is a seismic shift considering that the amount of people who regularly worked remotely before the pandemic took hold ranged from as low as 6% to as high as 23%, depending on country. By Michael Cade, Senior Global Technologist, Veeam.
Read MoreBy Stuart Reed, UK Director, Orange Cyberdefense.
Read MoreBy James Taylor, Strategic Development Manager for Cyber Security, Nuvias.
Read MoreBy Peter Carlisle, Vice President, nCipher Security.
Read MoreBy David Critchley, Regional Director UK & I, MobileIron.
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