Could 2026 be the year of the beautiful back end? We explore the range of options for server-side JavaScript development, ...

Get started with Java streams, including how to create streams from Java collections, the mechanics of a stream pipeline, examples of functional programming with Java streams, and more. You can think ...

Zero Trust workflows strengthened as Tines converts Kolide device issues into SSF-compliant CAEP events for Okta.

"Smartphones do their best to block scam links, so attackers use tricks to make their links clickable," said Joshua McKenty, CEO of Polyguard.ai, a cybersecurity company that helps businesses protect ...

Of the over 71 million Americans who receive regular Social Security payments, some will receive their November benefits this week. Here's what to know about the upcoming Social Security payments. The ...

Smart home hacking exists, but it's probably not the threat you think it is. Here are the facts, practices to keep you safe and more.

Jonathan Mortensen, Founder and CEO of Confident Security, currently leads the development of provably-private AI systems for industries with stringent security and compliance requirements. He also ...

Under President Trump, an agency intended to keep Americans safe has diverted resources from combating child abuse, trafficking and terrorism. Under President Trump, an agency intended to keep ...

According to security company ADT, the majority of break-ins occur through a domicile's front door. Just behind that statistic are two other ground-floor favorites for thieves: an unlocked window ...

From LinkedIn to X, GitHub to Instagram, there are plenty of opportunities to share work-related information. But posting could also get your company into trouble. This month in security with Tony ...

Sports-lover turned journalist, born and bred in Scotland, with a passion for football (soccer). He’s also a keen follower of NFL, NBA, golf and tennis, among others, and always has an eye on the ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...