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.

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 code review vs SAST: how detection, bug coverage, determinism, false positives, and cost differ, and why combining them ...

This page is for project contributors. It tracks behavior-affecting implementation decisions, rationale, evidence, compatibility boundaries, and engineering questions. ADRs remain the authority for ...

Horizon is Minecraft: Java Edition 26.3 rewritten from scratch in Rust, so it runs faster on the same computer. Single player, LAN, servers, resource packs and Horizon's own mods work today, on your ...

A 450-task benchmark built from real CVEs shows even the best AI coding agent writes code that's both working and secure only ...

Lidar data collected using NOAA survey aircraft reveals a top-down and side view of Loggerhead Key Lighthouse, Dry Tortugas, Florida. NOAA scientists use lidar-generated products to examine both ...

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You apply an AI-generated patch. The build passes. Existing tests also pass. You run the PoC that reproduced the ...

All of us use different types of peripherals with our computers. A hardware device that we connect to a computer externally is called a peripheral, like a keyboard, mouse, printer, etc. When you ...

The application of Large Language Models (LLMs) to security scanning has revolutionized the vulnerability management landscape. But, it has also introduced a significant operational bottleneck: noise.