Plaid Rolls out Machine Learning Risk Engine

Plaid announced that after two years in beta, its machine learning (ML) risk engine, Signal, will be available to customers seeking to upgrade their automated clearing house (ACH) transaction services with fraud detection.

Run through Plaid's open banking platform, Signal operates in a similar way to how card networks and financial institutions' leverage their network insights to mitigate risk and fraud. Signal offers real-time transaction analysis of ACH returns through data-insights pulled from Plaid's network.

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Using over 1,000 risk factors, Signal uses a tiered scoring system to paint a clearer picture of how accounts are interacting across the ecosystem, offering feedback which can be utilised by business' risk programs to reduce fraud.

Plaid notes that several customers have been using the service for over a year, and currently "protects nearly $1.5 billion in transactions every month." Some of the companies already using Signal include Robinhood, Uphold, and Webull.

The rollout comes on the same day as John Anderson is announced as Plaid's new head of payments.

(Source: Finextra)