Unlike conventional IT systems—with bounded entry points, predictable patch cycles, and known vulnerabilities—large language models (LLMs) and next-generation AI agents create an attack surface so broad, dynamic, and interconnected that comprehensively mapping or policing it becomes nearly impossible. Every new integration, plugin, RAG pipeline, or deployment scenario multiplies exposure: AI systems undergo constant updates and..

The post When Machines Attack Machines: The New Reality of AI Security appeared first on Security Boulevard.

Jack Poller

Source: Security Boulevard
Source Link: https://securityboulevard.com/2025/11/when-machines-attack-machines-the-new-reality-of-ai-security/