Browsing: ai security

The new DART platform automates security testing for autonomous agents by deploying adversarial models that learn and adapt to target defenses in real-time.

A critical flaw in NVIDIA’s NemoClaw framework allows attackers to permanently alter local AI model behavior via browser-based DNS rebinding.

Researchers exposed a critical prompt injection flaw enabling major AI agents to reveal API keys via GitHub comments. This “Comment and Control” exploit highlights a systemic runtime security blind spot that vendors quietly patched without public advisories.