Expert analysis

The January 2020 Patch Tuesday was a light one as predicted; everyone was still catching up from the end-of-year holidays. As we gain momentum into February and move towards …

According to Wikipedia, “zero trust is an information security framework which states that organizations should not trust any entity inside or outside of their perimeter at …

Sometimes a disaster strikes: ransomware encrypts critical files, adversaries steal sensitive data, a business application is compromised with a backdoor… This is the stuff …

Encryption is a popular topic among security professionals and occasionally a polarizing one. Plenty of misconceptions surround the process, and these often skew the way …

If you’re an IT security professional, you’re almost certainly familiar with that sinking feeling you experience when presented with an overwhelming number of …

Over the past year, deepfakes, a machine learning model that is used to create realistic yet fake or manipulated audio and video, started making headlines as a major emerging …

The recent high-profile ransomware attack on foreign currency exchange specialist Travelex highlights the devastating results of a targeted cyber-attack. In the weeks …

“Doomsday is here! The sky is falling! Windows 7 is out of support and all hell will break loose!” – or, at least, that’s what some cybersecurity experts and press outlets …

Microsoft has one of the best security teams and capabilities of any organization in the technology industry, yet it accidentally exposed 250 million customer records in …

While cybersecurity professionals are certainly aware of the growing threat posed by sharing data with third parties, many seem to lack the urgency required to address this …

As the Zero Trust approach to cybersecurity gains traction in the enterprise world, many people have come to recognize the term without fully understanding its meaning. One …

Artificial intelligence – more specifically, the machine learning (ML) subset of AI – has a number of privacy problems. Not only does ML require vast amounts of data for …