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Skynet

model1 events
papersTODAY 04:00 UTC

Skynet: Workflow-Level Anomaly Detection for Agentic AI

A new arXiv paper introduces Skynet, a method that detects failures in agentic AI systems by modeling both the semantics and the structure of multi-step workflows. Rather than judging individual outputs, it treats long-horizon plans, tool calls, and multi-agent coordination as a whole, since a single bad step such as an injected prompt or a flawed plan can derail the entire task. The authors position workflow-level monitoring as a way to catch these faults before they propagate.

agents/safety/anomaly-detection/arxiv