Platforms like FinCense use machine learning for integrated intelligence across banks, reducing false positives in Anti-Money Laundering (AML) while tracing illicit funds from disbursements to luxury purchases, according to Asian Bank and Finance.
In the multibillion flood-control scandal, AI integrated with blockchain — like DPWH’s Integrity Chain — verifies bidding irregularities, satellite imagery for ghost sites, and procurement livestreams, making alterations harder and exposing networks. BSP-supervised institutions deploy AI for fraud/AML patterns, with tools like Trusting Social’s “SelfieScore” blocking deepfakes in money muling tied to corruption. PIDS notes AI uncovers fraudulent bids and corrupt links.
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