From the expected to surprising, our 200+ predictions cover Brexit, cyber-treaties to IOT regulation, the negative impact of cyber insurance and the downsides of 5G, plus AI deepfake ransomware & much more.
This article provides HR professionals first steps they can take in their offices to cultivate an environment of gender equity in the workplace, specifically for women in tech and cybersecurity.
A Journal investigation finds the Cloud Hopper attack was much bigger than previously known
It's the time of year again where the great and good of the tech sector like to consult the tea leaves, gaze into the crystal ball, read the runes -- and of course draw on their industry knowledge -- to give their predictions for the year ahead.
Cybersecurity is a fast-moving industry, and with a new decade dawning, the next year promises new challenges for enterprises, security professionals and workers. But what predictions do experts have for cybersecurity in 2020?
The issue of data privacy has risen dramatically over the past few years, from a fringe concept to a major regulatory concern, particularly with the creation of GDPR. But what predictions do experts have for data privacy in 2020?
People using Google Chrome may encounter a new warning the next time they enter a password: The browser will now alert them if the password they typed in has previously been stolen in a data breach.
President Donald Trump made Hillary Clinton's use of a private email server a hallmark of his 2016 campaign, but the president now regularly conducts phone calls using unsecured devices, according to a new report from The Washington Post.
During the holidays, many of us start racking up frequent flyer miles. We’re visiting family and friends, and often booking a low-cost room in an Airbnb. While the joy of opening gifts around the holidays and sharing a meal is hard to beat, finding a hidden webcam is sure to sour the mood.
Password strength is one of the most important pieces of online security. The vast majority of hacks result from phishing — the act of guessing users' login credentials based on information gleaned from messages and online profiles — which stems from human error and is easily preventable.
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