Top Tips For Home Cybersecurity And Privacy In A Coronavirus-Impacted World

Welcome to the new normal. We’re all now living in a post-COVID-19 world characterized by uncertainty, mass home working and remote learning. The lines demarcating normal life have shifted abruptly – perhaps never to return. That’s not the worst that can happen, as we all know, but it does mean we all need to get…
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Top Tips For Home Cybersecurity And Privacy In A Coronavirus-Impacted World (part 2)

The past few months have seen radical changes to our work and home life under the Coronavirus threat, upending norms and confining millions of American families within just four walls. In this context, it’s not surprising that more of us are spending an increasing portion of our lives online. But this brings with it some…
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Tax Scams – Everything you need to know to keep your money and data safe

Tax season has always been a pretty nerve-wracking time for hard-working Americans. But over the years, technology advances have arrived to gradually make the process a bit easier. The bad news is that they can also introduce new cyber risks and even more stress. There are two things that cybercriminals are always on the hunt…
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The Everyday Cyber Threat Landscape: Trends from 2019 to 2020

The past 12 months have been another bumper year for cybercrime affecting everyday users of digital technology. Trend Micro blocked more than 26.8 billion of these threats in the first half of 2019 alone. The bad news is that there are many more out there waiting to steal your personal data for identity fraud, access…
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Home and Away, All Year Round: How Can I Keep My Kids Safe Online?

We’re well into another school year in the US and elsewhere. For many parents and their kids, this can be a stressful time — demanding new routines, more study and longer days. But how many of us think about the potential extra cyber risks to our family that might also emerge during this time? The…
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New machine learning model sifts through the good to unearth the bad in evasive malware

Most machine learning models are trained on a mix of malicious and clean features. Attackers routinely try to throw these models off balance by stuffing clean features into malware. Monotonic models are resistant against adversarial attacks because they are trained differently: they only look for malicious features. The magic is this: Attackers can’t evade a monotonic model by adding clean features. To evade a monotonic model, an attacker would have to remove malicious features.
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AV-Comparatives: Trend Micro Antivirus for Mac Provides 100% Malware Protection for Mac Users

Despite popular opinion otherwise, the days have long since passed when Mac users can venture forth on the Internet without having to worry about viruses or ransomware, phishing attacks or dangerous URLs. Though the number of attacks on the Mac are fewer than those on Windows machines (because there are fewer Macs, of course, making…
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A Look at Scan4You and the Counter Antivirus Service Landscape

The concept of antivirus (AV) scanning within IT security is simple and effective. These programs, which have become part and parcel of typical infrastructure and data protection strategies, scan enterprise networks for known malware signatures and other processes associated with suspicious hacker activity. If and when these signatures or processes are detected, the antivirus program…
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