# Sumsub and ODDA Urge Dating Apps to Combat AI-Driven Fraud _Sumsub and ODDA's report highlights AI-driven romance fraud, urging dating apps to enhance verification. Founders must prioritize user trust and safety._ Source: https://highintentmedia.com/news/susub-odda-report-ai-romance-fraud Author: High Intent Newsroom Published: 2026-07-07T11:12:43+00:00 Last updated: 2026-07-31T16:44:43.999913+00:00 Category: Policy ## Summary A new report from Sumsub and ODDA highlights that AI-driven deepfakes and synthetic identities are increasing romance fraud on dating apps. Operators must move beyond one-time checks to continuous behavioral monitoring and multi-layered fraud prevention like the proposed DATE framework. This is critical for maintaining user trust and balancing safety with user experience in the face of evolving AI threats. ## Key takeaways - AI technologies enable more sophisticated romance fraud, bypassing old trust and safety measures. - The DATE framework (deterrence, behavioral analysis, triage, empowerment) offers a new defense strategy. - One-time identity checks and reactive moderation are failing against current AI-powered scam tactics. - Balancing robust fraud prevention with a positive user experience is a major industry challenge. - User education and effective reporting tools are crucial for a resilient safety ecosystem. ## FAQ ### What AI technologies are enabling romance fraud on dating apps? AI technologies like deepfakes and synthetic identities are enabling more sophisticated romance fraud on dating platforms. These tools allow bad actors to create convincing fake profiles, AI-generated content, and coordinated scam networks that bypass traditional verification methods and trust and safety efforts, complicating detection for platforms. ### What is the DATE framework and how does it help combat AI-driven fraud? The DATE framework is a structured response proposed by Sumsub and ODDA to combat AI-driven fraud. It focuses on deterrence, behavioral analysis, triage, and empowerment. This framework suggests implementing risk-based verification, continuous behavioral monitoring, prioritizing high-risk activities, and educating users on scam tactics and reporting mechanisms to create multiple layers of protection. ### Why are current identity verification methods insufficient against AI fraud? Current identity verification methods, such as one-time identity checks and reactive moderation, are proving insufficient because AI allows scammers to create sophisticated fake profiles and synthetic identities that bypass initial verification. These traditional methods often only catch fraud after damage has occurred, leaving users vulnerable to evolving AI-powered scam tactics that outpace detection. ### How can dating apps balance user safety and user experience with new verification methods? Dating apps can balance user safety and user experience by designing verification measures that are thorough yet not overly burdensome. The report suggests that users are willing to undergo quick and privacy-respecting verification processes. Implementing reusable identity signals and continuously monitoring behavior, rather than just one-time checks, can help maintain a seamless experience while improving security. ### What regulations are discussed in relation to online dating fraud prevention? The white paper addresses regulatory implications, including the UK's Online Safety Act, and explores broader fraud strategies. Understanding these regulatory frameworks is essential for dating platforms seeking to implement effective safety measures. Stronger age assurance measures are also becoming increasingly important due to regulatory pressure to protect minors online. - A new white paper from Sumsub and ODDA examines how AI technologies like deepfakes and synthetic identities are enabling more sophisticated romance fraud on dating platforms. - The report proposes a DATE framework focusing on deterrence, behavioral analysis, triage, and empowerment to help platforms combat AI-enabled fraud. - Current trust and safety measures like one-time identity checks and reactive moderation are proving inadequate against evolving AI-powered scam tactics. - The paper addresses regulatory implications including the UK's Online Safety Act and explores balancing fraud prevention with user experience. A new white paper from verification platform Sumsub and the Online Dating and Discovery Association (ODDA) addresses the growing issue of romance fraud in the online dating sector, particularly as AI technologies make deception more sophisticated. The report analyzes how AI-generated content, deepfakes, and synthetic identities are complicating trust and safety efforts across dating platforms. It provides practical recommendations for improving fraud prevention without undermining the user experience that makes these platforms attractive. Person using smartphone with dating app interface ## The Growing Threat of AI-Powered Romance Fraud The report, "Are You Real? How Dating Apps Must Re-Architect for the AI Fraud Era," analyzes how AI-generated content, deepfakes, synthetic identities, and coordinated scam networks are complicating trust and safety efforts. A major focus is on the difficulty platforms face in verifying genuine users while maintaining a positive user experience. This challenge has only intensified thanks to the widespread accessibility of AI image, voice, and video generators. The paper draws on Sumsub's fraud prevention data and ODDA's industry expertise to examine the scale of romance fraud. It provides detailed analysis of how AI tools are evolving tactics used by bad actors. The research includes survivor perspectives and industry data that illustrate the human and financial costs of these sophisticated scams. Key sections of the report cover the current regulatory environment, including implications of the Online Safety Act. The analysis extends to broader fraud strategies in the UK and elsewhere. Understanding these regulatory frameworks is essential for platforms seeking to implement effective safety measures. ## Limitations of Current Safety Approaches The report discusses significant limitations in existing trust and safety approaches currently deployed by dating platforms. One-time identity checks and reactive moderation are proving insufficient against evolving threats. These traditional methods often catch fraud only after damage has occurred, leaving users vulnerable to sophisticated scams. > Current trust and safety measures like one-time identity checks and reactive moderation are proving inadequate against evolving AI-powered scam tactics. Bad actors are leveraging AI to create convincing fake profiles that can bypass initial verification steps. Synthetic identities generated through AI tools are becoming increasingly difficult to distinguish from genuine users. The speed at which scammers can now create and deploy fraudulent accounts has outpaced traditional detection methods. Cybersecurity concept with digital security elements ## The DATE Framework: A Structured Response To address these challenges, the paper proposes a DATE framework as a structured response for platforms. The framework focuses on four key pillars: risk-based deterrence, behavioral analysis, high-risk triage, and user empowerment. This comprehensive approach aims to create multiple layers of protection that work together to identify and prevent fraud. Risk-based deterrence involves implementing verification measures proportional to the potential threat level of different user behaviors. Behavioral analysis examines patterns over time rather than relying solely on initial verification. High-risk triage allows platforms to focus resources on the most suspicious activities and accounts. > The DATE framework focusing on deterrence, behavioral analysis, triage, and empowerment provides platforms with a structured approach to combat AI-enabled fraud. User empowerment represents a critical component of the framework, giving members tools to protect themselves. This includes education about common scam tactics and clear reporting mechanisms. By involving users in the safety ecosystem, platforms can create a more resilient defense against fraud. ## Balancing Safety and User Experience The paper explores user attitudes toward verification measures and the delicate balance between safety and usability. While users increasingly demand protection from fraud, they also expect seamless, frictionless experiences on dating platforms. Striking this balance is one of the most significant challenges facing the industry. Research included in the report shows that most users are willing to undergo verification if the process is quick and respectful of privacy. However, overly burdensome checks can drive users away or create barriers to genuine connection. Platforms must design safety measures that feel protective rather than intrusive. Digital identity verification concept ## Future Directions for Identity Verification Additional topics covered in the white paper include the potential for reusable identity signals and stronger age assurance. Reusable identity verification could allow users to prove their authenticity across multiple platforms without repeating the process. This approach could reduce friction while maintaining security standards. Stronger age assurance measures are also becoming increasingly important as platforms face regulatory pressure to protect minors. The report examines various technologies and approaches for verifying user age without compromising privacy. These solutions must be robust enough to prevent circumvention by determined bad actors. The paper concludes with practical recommendations for dating platforms looking to strengthen their fraud prevention capabilities. These recommendations are designed to be actionable and scalable across different platform sizes and user bases. Implementation will require investment but is essential for maintaining user trust in an era of increasingly sophisticated AI-enabled fraud. - Dating platforms must move beyond one-time verification to continuous behavioral monitoring and multi-layered fraud prevention strategies that evolve with AI threats. - Successful fraud prevention requires balancing robust security measures with user experience, ensuring verification processes are thorough yet not so burdensome that they drive away genuine users. - Empowering users through education about AI-powered scams and providing clear reporting tools creates a more resilient safety ecosystem where members actively participate in fraud prevention. ## Sources - [Are You Real? How Dating Apps Must Re-Architect for the AI Fraud Era](https://sumsub.com/blog/guides-reports/are-you-real-how-dating-apps-must-re-architect-for-the-ai-fraud-era/), Sumsub Published by High Intent (High Intent Media Inc). 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