Context-Based Adversarial Attacks on AI Code Generators: Vulnerability Analysis and Implications

AI-powered code generation systems have transformed software development but introduce critical inference-time security vulnerabilities. This research presents a systematic investigation of context-based adversarial attacks, where strategically crafted contextual inputs, including comments,...

Bringing AI Code Security into Qualys ETM

A first-class data model for the next generation of findings AI-driven code security is becoming a real category. Anthropic's Claude Code Security and OpenAI's Codex Security are the leading examples, and more will follow. These tools reason about source code at a depth that traditional SAST cann...

VibeGuard: A Security Gate Framework for AI-Generated Code

"Vibe coding," in which developers delegate code generation to AI assistants and accept the output with little manual review, has gained rapid adoption in production settings. On March 31, 2026, Anthropic's Claude Code CLI shipped a 59.8 MB source map file in its npm package, exposing roughly...

ZAST.AI Raises $6M Pre-A to Scale "Zero False Positive" AI-Powered Code Security

January 5, 2026, Seattle, USA — ZAST.AI announced the completion of a $6 million Pre-A funding round. This investment came from the well-known investment firm HH Capital, bringing ZAST.AI's total funding close to $10 million. This marks a recognition from leading capital markets of a new solution...