What 500 Maestro Conversations Taught Us About Agentic Security
We analyzed 500 real Maestro conversations across nearly 50 organizations to see how security teams actually use AI agents day to day.
Since our first look, Maestro adoption grew 7.5x, and the analyzed conversations alone saved an estimated 235 hours of security work. Teams lean on agents most for their most time-consuming, high-context tasks—cross-repository search, exploitability assessment, and code context.
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