Security researchers from Georgia Tech have observed a surge in reported CVEs for which the flaw was introduced by AI-generated code ...

GitHub is adopting AI-based scanning for its Code Security tool to expand vulnerability detections beyond the CodeQL static analysis and cover more languages and frameworks.

Software engineers embracing the AI coding revolution don’t have much loyalty to any particular coding tool, especially when a new, better one comes out. In the latest example of that, the growth of ...

TeamPCP is the likely cyber threat actor behind attacks on Trivy, Checkmarx, and the LiteLLM AI library — and all signs point to more attacks to come.

Generative AI coding assistants are producing measurable speed gains for software engineering teams, with some tasks reaching ...

Unlike traditional SAST, code scanners or pen testers, Xint Code uses multi-LLM reasoning and orchestration for human-like contextual understanding, identification and prioritization of hidden ...

Meta advertising isn’t just big — it’s massive and still expanding. In 2025, Meta’s advertising ecosystem captured roughly 42% of all global social media ad spend — an estimated $87 billion — dwarfing ...

Abstract: Modern software development benefits greatly from automated code analysis tools that can detect bugs and suggest improvements. In this work, we present a transformer-based framework for code ...

Q1: How does Claude Code Security function—and how does it differ from traditional static application security testing (SAST)? A1: Conventional rule-based static analysis uses pattern matching, ...

Abstract: AI tools such as ChatGPT have become extensively integrated into software engineering today. Still, problems have remained regarding the quality and reliability of their answers. In this ...

Strengthen your agency’s edge by using AI code detection to spot risky AI-generated sections early and protect quality, security, and client trust. Build a repeatable review process by scanning repos, ...