AI RESEARCH
Who Audits the Auditor? Tamper-Proof Fraud Detection with Blockchain-Anchored Explainable ML
arXiv CS.LG
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ArXi:2604.22096v1 Announce Type: cross In enterprise fraud detection, model accuracy alone is insufficient when insiders can tamper with audit logs or bypass approval workflows. Real-world incidents show that fraud often persists not because detection algorithms fail, but because the audit trail itself is controllable by privileged operators. This exposes a fundamental trust gap: *who audits the auditor?* We present a tamper-evident fraud detection system that anchors both ML predictions and workflow execution to an immutable blockchain ledger.