AI agents are exposing a security gap between the data they read and the systems they can change

Production AI systems increasingly integrate with live data sources and perform autonomous actions, exposing new security vulnerabilities in workflows rather than in the AI models themselves. These risks include prompt injection through connected data, over-permissioned API calls, fragile trust boundaries between tools, lack of observability, and the absence of manual intervention in automated decision flows.

This Wire brief sits within Fusion42's coverage of AI & ML.