Security researchers registered software packages named in the public documentation files of major companies, including defense contractors, and watched AI coding agents inside those organizations download and run the code automatically. The first machine executed the researchers’ package in under four minutes. The findings come from Alon Hertz and a team at a stealth-stage security...Read More

Sandia National Labs developing AI drones for national security Researchers are testing artificial intelligence with drones, teaching them how to ‘play tag’ Sandia National Labs is testing artificial intelligence through drones in a project aimed at enhancing national security. Lead researcher Spencer Jensen demonstrated the project, called AutonomyNM, by playing “drone tag.” “The rules of...Read More

There is a clear repeating trend in agent deployments: The gateway is the first control teams reach for, but it is the one they are least ready to run. This is because gateways sit on top of identity and attribution layers that are mostly not there. The first layer of risk is not hypothetical. In...Read More

In the frenetic world of Web3, where agility and innovation reign, a darker side emerges with the rise of AI security threats. As developers integrate artificial intelligence into their workflows, they inadvertently invite a cavalcade of risks challenging our reliance on traditional cybersecurity measures. Thus, the necessity to grasp and counter these threats has reached...Read More

An AI model just cracked a 29-year-old bug in Squid, the proxy software running schools, ISPs, and corporate networks everywhere. Unit 42 turned two years of pen testing into three weeks using the same tech. Its verdict, from researcher Matt Brady: organizations are “somewhere between three and five months away from these frontier AI models...Read More

By: Vishnu Gatla Runtime has become the place where the real risk of AI-driven networks appears. Strategy documents, policy frameworks, and architecture diagrams are useful, but they do not decide whether an autonomous workflow should call an application programming interface, change a route, open a ticket, retrieve customer data, or trigger a production action. Those...Read More

CrowdStrike Holdings recently reported past second-quarter 2026 results showing revenue of US$1,470.9 million and net income of US$5.31 million, while also issuing higher full-year and third-quarter revenue guidance that now targets up to US$6.01 billion for the year ending January 31, 2027. Management linked this performance and outlook upgrade to rising demand for its AI-focused...Read More

Palo Alto Networks (PANW) has been back in focus after cybersecurity peers reported strong quarters and raised outlooks, lifting confidence in AI security spending and putting extra attention on Palo Alto’s upcoming earnings. After a sharp rally that included a 12% single day gain when peers like CrowdStrike and Okta reported strong results, Palo Alto...Read More

The evolution of artificial intelligence (AI) technology is upending the long-standing calculus of cybersecurity. The asymmetric dynamic—where attackers need to find just a single vulnerability while defenders must block every possibility—is poised to shift toward a defender advantage over the long term, as AI now enables defenders to actually examine all those possibilities. Taesoo Kim,...Read More

CrowdStrike Holdings Inc.’s most recent earnings print shows that Anthropic PBC’s Mythos model transformed artificial intelligence security from something chief information security officers needed to worry about down the road into an immediate buying event. The company’s entrenched position in endpoint  – along with its single lightweight agent, proprietary intelligence and a rapidly expanding portfolio...Read More