cybersecurity

Seventy-nine percent of companies store sensitive data in the public cloud, according to a McAfee survey. Anonymized cloud event data showing percentage of files in the cloud …

In this interview, Mark Sangster, VP & Industry Security Strategist at eSentire, talks about the most pressing issues CISOs are dealing with in today’s fast-paced …

“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 …

Patients and consumers deserve better access to personalized, actionable health care information to empower them to make better, more informed decisions – but it should not …

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 …

Nearly 90 percent of global organizations were targeted with BEC and spear phishing attacks in 2019, reflecting cybercriminals’ continued focus on compromising individual end …

The proliferation of real-time payments platforms, including person-to-person (P2P) transfers and mobile payment platforms across Asia Pacific, has increased fraud losses for …

Citrix and FireEye have teamed up to provide sysadmins with an IoC scanner that shows whether a Citrix ADC, Gateway or SD-WAN WANOP appliance has been compromised via …

Be extra careful when looking for a job online, the Internet Crime Complaint Center (IC3) warns: cybercriminals are using fake job listings to trick applicants into sharing …

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 …