How to scale agentic AI coding assistants to 600+ engineers in a regulated enterprise, using governance, guardrails, curated ...

A practical checklist for evaluating ADLC security solutions: coverage for code and coding agents, evidence-backed accuracy, agent-loop workflow fit, and a proof of concept you can score.

Google’s SecOps platform carries its own detection-engineering discipline: YARA-L rules managed as content, curated ...

Azul has moved quickly to patch 53 vulnerabilities disclosed by OpenJDK through its October Security-Only, Stability-First ...

Reverse engineer apps using the REA repository and Claude Code to analyze and recreate specific features locally without ...

PHP2Shell's two critical CVEs drew AI tools from Google and OpenAI into vulnerability research as Cloudflare and the PHP ...

GPT-6 COBOL migration hits 97.9% behavioral fidelity in OpenAI's latest benchmark, a 16-fold improvement over prior models, but enterprise IT teams should understand the gap between benchmark accuracy ...

The Programming Language Scene in 2026 and the Positioning of RustIn the software development landscape of 2026, the Rust ...

Multiple agents can work in parallel, but keeping their plans, decisions, and handoffs connected quickly becomes a coordination problem. The best AI coding assistants generate and edit code well. A ...

Business teams are vibe coding prototypes faster than anyone in security can count them, and those prototypes are at their ...

The movement of a robot arm occurs after a signal is sent out by the controller. But there is another world beyond the ...

Mobile security is two budgets wearing one name: testing finds the flaws before release, shielding hardens the binary against the hostile devices it ships to. When evaluating Mobile Application ...