Resistant AI Partners with Instabase to Offer Customers Document Fraud Detection

Resistant AI, the AI- and machine learning-powered financial crime prevention specialists, today announced that it has partnered with unstructured data automation platform Instabase. The partnership offers financial services organizations Resistant AI’s Document Forensics to authenticate digital KYC documents submitted through Instabase’s AI Hub platform which processes vast amounts of unstructured data to automate end-to-end workflows.

Combatting online criminals requires progressively more powerful technology as fraudsters apply more sophisticated techniques, and the rise of artificial intelligence has only increased the number of tools in a criminal’s arsenal. In an analysis of over 25 million digital documents in the last six months, Resistant AI found that 8% of pay stubs, 10% of bank statements, and 7% of utility bills show signs of manipulation. This new partnership between leading AI SaaS providers, Resistant AI and Instabase, addresses the increasing demand for improved safety measures in fraud-prone document processing workflows, including identifying and preventing new money mule accounts being opened in relation to peer-to-peer (P2P) fraud, resulting in enhanced risk-management and customer experience.

Martin Rehak, CEO and Founder of Resistant AI says, ‘We are proud to work with Instabase to offer a solution that enables customers to automate workflows while safeguarding against fraud. Customers can feel secure knowing that they are using best-in-class technologies, from two companies that are committed to working together and integrating their product to address document fraud from end-to-end.’

Joe Ramieri, VP of GTM of Instabase says, ‘Given the ethos of innovation that both Resistant AI and Instabase have built on, our customers can now leverage an additional layer of protection by validating document authenticity, and be armed with the right integrated toolkit to stay ahead of the rapidly evolving financial crime landscape.’