The cases are still built from familiar intrusion primitives, but reconnaissance, exploit development and data processing are increasingly delegated to persistent agent workflows.
A July paper reports a multi-agent system that retrieves audit knowledge, generates Foundry exploits and repairs or replans them against execution feedback.
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Why this archive exists
The source matters after the headline fades.
DiggingBeagle is a non profit research project documenting AI security incidents, agent failures, vulnerabilities and AI-assisted operations. A case keeps its claims beside the sources that support, contest or limit them. Later updates stay visible, so a reader can see when the account changed.
We publish case reconstructions, dated reporting and analysis across records. Each has a different evidentiary role. About the project and our methodology explain how the work is reviewed.