Truepic, recognized as the enterprise leader in Visual Risk Intelligence, has unveiled its new Truepic Risk Network, an opt-in intelligence-sharing layer within its flagship Truepic Vision platform. Designed to confront the growing threat of AI-driven fraud, the Risk Network enables financial institutions to detect, escalate, and share signals of suspicious activity in real time, creating an industry-wide collective defense against synthetic media, manipulated metadata, and falsified identities.
The system works by leveraging Truepic’s advanced image and data authenticity verification at the device level. Fraud indicators such as falsified locations, tampered images, or suspicious device fingerprints are instantly surfaced within enterprise workflows. Participating organizations can then share anonymized intelligence across internal teams or with other network members, effectively creating an early warning system. When repeat patterns reappear, the Risk Network delivers real-time alerts to participating institutions, allowing them to intervene before costly losses mount.
Jeffrey McGregor, CEO of Truepic, stressed the urgency of the initiative, noting that fraud tactics are accelerating in both scale and sophistication. “Bad actors are increasingly leveraging devices and AI to scale deception,” he said. “Our goal is to provide strong, actionable signals that empower enterprises to mitigate visual risk so their most critical decisions and workflows remain secure.”
Michael Chertoff, former U.S. Secretary of Homeland Security and current Truepic board advisor, underscored the systemic risk posed by generative AI. “The scale and speed at which synthetic media, falsified identities, and manipulated data can now be generated pose a systemic risk,” Chertoff warned. “Image and data authenticity, information sharing, and continuous testing across institutions isn’t optional anymore, it’s essential to safeguarding trust in our financial system.”
The Cybersecurity & Infrastructure Security Agency (CISA) has long emphasized that financial services are among the sixteen U.S. critical sectors requiring heightened protection. Fraud rings increasingly target multiple organizations in a coordinated manner, exploiting synthetic media and metadata manipulation to manufacture fake businesses, personas, or staged events at scale. Truepic’s Risk Network, the first solution of its kind, aims to counter this trend by combining authenticity verification with cross-institutional signal sharing, ensuring that emerging threats are identified and disrupted before they spread widely.
By positioning itself at the intersection of AI verification, financial security, and collective intelligence, Truepic is attempting to build a defense ecosystem that not only strengthens the resilience of individual institutions but also raises the security threshold for the entire sector. This approach highlights a shift in fraud prevention—from isolated defense perimeters to shared vigilance—marking a new chapter in protecting global finance from the rising tide of AI-fueled deception.
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