Resemble AI has successfully secured US$13 million in a new strategic investment round, specifically earmarked for advancing AI deepfake detection technologies. This latest funding infusion elevates its total venture investment to US$25 million. Notable participants in this round include Berkeley CalFund, Berkeley Frontier Fund, Comcast Ventures, Craft Ventures, Gentree, Google’s AI Futures Fund, and IAG Capital Partners, among others. This significant investment arrives at a critical juncture, as organizations worldwide face mounting pressure to verify the authenticity of digital content in an increasingly complex landscape.

The proliferation of generative AI has inadvertently made it considerably easier for malicious actors to produce highly convincing deepfakes. This technological advancement has directly contributed to staggering financial losses, with over US$1.56 billion attributed to fraud in 2025. Furthermore, analysts project that generative AI could potentially facilitate US$40 billion in fraud losses within the US alone by 2027. Recent incidents vividly illustrate the rapid evolution of these threats. A notable case in Singapore involved 13 individuals who collectively lost more than SGD 360,000 to scammers. These perpetrators impersonated a telecommunications provider and the Monetary Authority of Singapore, employing sophisticated techniques such as caller ID spoofing, voice deepfakes, and social engineering to create urgency and exploit public trust in government and telecom brands.

In response to these escalating challenges, Resemble AI is at the forefront of developing real-time verification tools designed to help enterprises detect AI-generated audio, video, images, and text. The company plans to strategically deploy its new funding to expand global access to its advanced AI deepfake detection platform. This platform recently saw the release of two key innovations: DETECT-3B Omni, an enterprise-grade deepfake detection model boasting 98% detection accuracy across more than 38 languages, and Resemble Intelligence, a platform leveraging Google’s Gemini 3 models to provide explainability for multimodal and AI-generated content. Resemble AI positions these robust tools as integral components of a broader initiative aimed at supporting real-time verification for both human users and AI agents interacting with digital content. DETECT-3B Omni is already making an impact in critical sectors such as entertainment, telecommunications, and government. Public benchmark results showcased on Hugging Face further validate its effectiveness, ranking it among the strongest performers in image and speech deepfake detection, with a notably lower average error rate compared to competing models.

Industry stakeholders widely acknowledge that the rapid advancements in generative AI are fundamentally reshaping how enterprises approach content trust and identity systems. Representatives from Google’s AI Futures Fund, Sony Ventures, and Okta have observed a clear trend: organizations are increasingly adopting verification layers to maintain trust in authentication processes. Alongside its funding announcement, Resemble AI also released its strategic outlook on how deepfake-related risks are expected to evolve in 2026. The company anticipates several significant shifts that will likely influence enterprise planning:

• Deepfake Verification for Official Communications: Following incidents involving government officials, Resemble AI predicts that real-time deepfake detection may become a mandatory requirement for official video conferencing. Such a development would undoubtedly stimulate new procurement activities and drive increased adoption within the public sector.
• Organizational Readiness as a Competitive Differentiator: As more jurisdictions introduce comprehensive AI regulations, enterprises that proactively integrate training, governance, and compliance processes into their operations are expected to be better prepared for both operational and regulatory demands, gaining a competitive edge.
• Identity as a Central Focus in AI Security: Given that many AI-related attacks heavily rely on impersonation, organizations are expected to place a much greater emphasis on identity-centric security models, including the implementation of zero-trust approaches for both human and machine identities.
• Potential Rise in Cyber Insurance Costs: The growing frequency of corporate deepfake incidents is likely to prompt insurers to reassess their policy offerings. Companies lacking robust deepfake detection tools could face the consequence of higher premiums or even limited coverage.

This substantial investment unequivocally underscores the escalating need for enterprises to thoroughly understand and mitigate their risk exposure in the age of generative AI. Organizations across all sectors are actively evaluating how advanced verification technologies, stringent identity safeguards, and robust incident readiness strategies can be seamlessly integrated into their overarching security and compliance frameworks.