Static application security testing (SAST) has been a backbone of enterprise AppSec programs for more than a decade. But two back-to-back launches from Anthropic and OpenAI are exposing a structural limitation in pattern-matching scanners that no tuning or rule pack… Read More »LLM Reasoning vs. SAST: How Anthropic and OpenAI Just Rewrote AppSec Detection
Task-specific AI agents are rapidly becoming part of everyday enterprise software, but AI security maturity is not keeping up. While a large share of enterprise applications are expected to embed narrow AI agents this year, Stanford’s 2025 AI Index reports… Read More »Seven Practical Steps to Close the AI Supply Chain Visibility Gap
Frontier large language models (LLMs) are failing under pressure — and not because attackers have discovered exotic, one-in-a-million exploits. What red teaming is revealing instead is more uncomfortable for security and engineering leaders: if an adversary can automate a sufficient… Read More »Red Teaming LLMs: Why Persistent Attacks Are Winning the AI Security Arms Race