More results...
Penetration testing has long run on expert time, with specialists spending days probing a network or web application by hand. Manual engagements stretch across weeks, expert consultants run into thousands of dollars a day, and results vary with the tes…
Companies keep bolting AI and LLM features onto their products, and the security results are starting to show a pattern. The vulnerabilities those features create get rated high risk far more often than anything else, and they get fixed slower than any…
Plenty of people now type their security worries straight into a chatbot. A hacked account, a suspicious email, a stalker who might be tracking a phone, all of it lands in the same window someone would use to ask about dinner. A benchmark called HelpBe…
Free and open source software developers us AI coding assistants such as Claude Code, Copilot CLI, Antigravity, and OpenCode in their daily work. The Software Freedom Conservancy responded to that trend with a set of recommendations for contributors wh…
AI-assisted development has settled into everyday practice across software organizations, and developers using it move from idea to working code in hours. That code does not stay with the developers who prompt it. It flows downstream to the DevOps and …
Enterprises are connecting AI agents to live data feeds and putting them to work on tasks that once required human review, from IT operations to software development. The number doing this in production reached 32 percent in 2026, up from 29 percent th…
Researchers have long warned that AI agents could lower the skill floor for offensive cyber operations, and a recent report by OALABS (Open Analysis) researchers bears that out. After recovering and analyzing over 1,000 agent sessions from a compromise…
AI has settled into security operations centers faster than any earlier wave of technology. Around four in five practitioners report reaching for AI or machine learning tools in their daily work. The catch shows up one layer down. Roughly a third of th…
Deep learning systems on phones, cars, and other edge devices increasingly run on custom silicon. Specialized chips such as FPGAs and ASICs give these systems the speed and low power consumption that edge applications need. Many of these chips come fro…
At most U.S. technology companies, machines now write the bulk of the code that ships each week. The engineer’s job has shifted toward reviewing what the AI produces, and that review gives the code high marks. Leaders rate AI-generated code as hi…