Security architectures must realign: agents require unique identities, strict access controls over models, data, and tools, plus central control points – otherwise uncontrollable shadow IT emerges with significant abuse potential.
Uncontrolled AI agents in enterprise environments require systematic discovery, permission verification, and central governance to mitigate security and compliance risks.
Microsoft’s three-day patching mandate is operationally unrealistic for large enterprises with complex testing and release processes, and increases the risk of system outages caused by faulty or incompatible patches.
ACR Stealer employs two technically distinct campaigns to circumvent security tools and fragment investigations without exploiting software vulnerabilities.
Agentic AI systems create security risks through their autonomy, which classical threat models do not cover and which require different control mechanisms.
