Control Evidence Extraction uses AI to structure control evidence, enabling faster control testing, by extracting fields from evidence files, tickets, logs, and approvals, across internal controls and audit.
Control testing requires evidence pulled from screenshots, tickets, logs, and approvals in many formats. Collecting and structuring it by hand dominates audit cycles and delays attestation.
The AI performs extraction on control evidence files, screenshots, tickets, logs, and approvals, returning structured evidence fields linked to the control being tested.
Reduces evidence collection time and increases the share of controls with complete, structured evidence.
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