Sabitlenmiş Tweet

Sherlock created an audit team assembly system based on deep performance data.
Most security firms rely on fixed in-house teams or assign researchers based on availability. Over time, we kept seeing the same gaps: auditors placed on codebases that didn’t match their strengths, and blind spots no small static team can realistically cover.
Every researcher in our network is scored on accuracy, severity classification, specialization, and false positive history.
When a private audit starts, we assemble audit teams based on who is most likely to catch what matters in that specific codebase.

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