I have made it possible to operate a second-hand first-generation Qrio Smart Lock (Q-SL1) from the iPhone's "Home" app using ...

African swine fever, foot-and-mouth, lumpy skin, avian influenza and the screwworm threat share one thing: they travel faster ...

Azul, the trusted leader in enterprise Java for today’s AI-first world, today released the 2026 AI Vulnerability Gap Report, ...

Azul CEO Scott Sellers explains why Azul shifted from hardware to software and how Java adds features while keeping older apps running.

Security researchers Shubham Shah and Sam Curry uncovered a ForgeRock attack chain that enabled remote code execution on two ...

Few items in an Indonesian kitchen reveal the country's food vulnerability as starkly as garlic. Indonesia grows barely ...

Hello, this is HIRORO.The 'Battle Wars Revival' project, which revives a 10-year-old proposal using the modern Godot engine.In the previous v27, I finished the inventory check of the entire Java ...

AI SAST combines program analysis, dataflow tracing, and LLM reasoning to find logic flaws rule-based SAST misses. Learn how it works and how to evaluate tools.

Two secret scanners, the same 1,049 commits, seven real credentials. Each found five - and not the same five. What every false-positive filter costs you.

Every Node.js project accumulates vulnerable dependencies. The npm registry holds over 2.5 million packages, and researchers found 454,000 malicious or vulnerable packages uploaded in 2025 alone.

AI SAST vs traditional SAST, compared: how reasoning changes detection of authorization flaws, false positives, triage, fixes, speed, and cost ...