After months of review, a Georgia-based healthcare system has determined that a cyberattack last year exposed the protected health information of more than 278,000 individuals. Meanwhile, federal regulators have issued an alert about advanced persistent threats.
The latest edition of the ISMG Security Report offers an in-depth look at the ever-changing ransomware threat. Other topics: filling the DevSecOps skills gap and the repercussions of Australia's encryption-busting law.
Federal investigators have opened a counterintelligence investigation into possible spying by the Chinese government following the arrest of a 32-year old woman at the Trump Organization's Mar-a-Lago private club in Florida last week, according to the Miami Herald.
Keynotes and briefings at the recent 28th annual RSA Conference 2019 covered a wide range of topics, including privacy, hackers, cyber extortion, machine learning, artificial intelligence, human psychology, legal matters, career advice and internet-connected device concerns. Here are 15 highlights.
Ex-black hat Alissa Knight recently joined Aite Group's new cybersecurity practice, and among her first tasks: a hard look at the security of major financial institutions' mobile banking apps. The results may surprise you.
Two third-party Facebook application developers exposed users' personal information by leaving the data exposed without a password in unsecured Amazon Web Services S3 buckets, researchers from UpGuard say. One data set contained 540 million unsecured records, the report found.
An "Asian female" has been arrested for attempting to access President Donald Trump's Mar-a-Lago club while he was staying there, claiming she wanted to use the pool. Prosecutors say the apparent Chinese national was carrying a USB thumb drive containing "malicious software" - and had no swimsuit.
How do machine learning, threat intelligence and advanced analytics blend together to form agile and accurate fraud prevention? Avner Gideoni of IBM Security's Trusteer division explains the concept of "laser-cut fraud prevention."