AI-generated code is a game changer — requiring embedded, AI-driven application security. Here’s why you need to fight fire with fire.

The tool is a step forward for managing AI coding risk — but it trips on modern supply chain threats because it looks only at source code.

The OpenClaw saga is a case study on the threat from agentic AI, demonstrating how it increases supply chain risk.

OWASP has adopted a new container security analyzer to slow information overload from tools. Here’s what you need to know.

Package URLs give software components an exact address to improve vulnerability matching, which reduces alert fatigue and simplifies compliance.

AI agents create novel attack surfaces and control issues that require rethinking basic assumptions — and AppSec tooling.

Research shows that AI coding can tap integrated development environments to become privileged insider threats. 

Researchers show how large language-model (LLM) fingerprinting can be used to automate the generation of customized attacks.

This class of AI tool supply chain attack highlights how trust of agents can be exploited by threat actors.

Here are the facts on Mythos — and why your organization must adopt a layered security framework to match the new frontier models.

AI vulnerability reporting is overwhelming teams — and NIST. But for AppSec teams, this scaling back of analysis is cause for alarm.