Ocrolus acquires technology from Resistant AI to detect forged loan documents
Technology from Resistant AI is part of the Ocrolus platform for screening loan applications. Tampering detection uses checks of structure, metadata, edit history and pixel anomalies. According to Ocrolus, the platform processes 750 thousand applications per month.
Technology from the Czech company Resistant AI for detecting forged documents has become part of the platform of the US company Ocrolus. It helps banks, lenders and other financial institutions screen documents submitted with loan applications, such as bank statements, payslips and tax documents. According to Ocrolus, the platform processes 750 thousand loan applications per month.
The integration responds, among other things, to the forgery of financial documents using generative artificial intelligence. Technology from Resistant AI examines document structure and metadata, the environment in which documents were created, file edit history and pixel anomalies. According to Resistant AI, the technology was trained on threat patterns from more than 200 million documents from around the world.
Why it matters
Financial institutions using the Ocrolus platform gain document integrity checks when assessing loans. These help look for signs of tampering even in supporting documents whose content appears credible at first glance. The source does not report a measured success rate for detecting forgeries.
Relevant practical impact
What this means
For a business
For banks and lenders, the integration expands checks of supporting documents during loan approval to include searches for technical signs of forgery, thereby supporting the management of document fraud risk.
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Event sources
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