cyber risk

Sports fans and cybercriminals both look forward to major sporting events, but for very different reasons. Fake ticket sites, stolen login details, and DDoS attacks are common …

Popular AI chatbots powered by large language models (LLMs) often fail to provide accurate information on any topic, but researchers expect threat actors to ramp up their …

Cybersecurity never stands still. One week it’s AI-powered attacks, the next it’s a new data breach, regulation, or budget cut. With all that noise, it’s easy to get …

In this Help Net Security interview, Tammy Hornsby-Fink, CISO at Federal Reserve System, shares how the Fed approaches cyber risk with a scenario-based, intelligence-driven …

In a recent case tracked by Flashpoint, a finance worker at a global firm joined a video call that seemed normal. By the end of it, $25 million was gone. Everyone on the call …

60% of enterprise SaaS and AI applications operate outside IT’s visibility, according to CloudEagle.ai. This surge in invisible IT is fueling a crisis in AI identity …

A new report from the Cyber Threat Alliance warns that the era of quantum risk is already underway, and security teams need to stop treating it like a problem for tomorrow. …

A recent study by researchers at the University of Padova reveals that despite the rise in car thefts involving Remote Keyless Entry (RKE) systems, the auto industry has made …

Many organizations are overwhelmed by the complexity of their IT systems, making it difficult to manage cybersecurity risks, according to a new Ivanti report. The …

82% of organizations already use AI agents, but only 44% of organizations report having policies in place to secure them, according to SailPoint. While 53% are in the process …

A wave of layoffs has swept through the tech industry, leaving IT teams in a rush to revoke all access those employees may have had. Additionally, 54% of tech hiring managers …

70% percent of organizations view the pace of AI development, particularly in GenAI, as the leading security concern related to its adoption, followed by lack of data …