Resemble AI has raised $13 million in a new strategic investment round for AI deepfake detection. This funding brings the company’s total venture investment to $25 million, with participation from Berkeley CalFund, Berkeley Frontier Fund, Comcast Ventures, Craft Ventures, Gentree, Google’s AI Futures Fund, IAG Capital Partners, and others.
The funding comes as organizations are under pressure to verify the authenticity of digital content. Generative AI has made it easier for criminals to create convincing deepfakes, resulting in over USD 1.56 billion in fraudulent losses in 2025. Analysts estimate that generative AI could lead to US$40 billion in fraud losses in the US by 2027.
Recent incidents highlight how quickly threats can evolve. In Singapore, 13 people collectively lost more than S$360,000 after fraudsters impersonated telecommunications providers and the Monetary Authority of Singapore. Attackers used caller ID spoofing, audio deepfakes, and social engineering techniques to create urgency and capitalize on the public’s trust in governments and telecom brands.
Deepfake detection tools and new AI features
Resemble AI develops real-time verification tools that enable enterprises to detect AI-generated audio, video, images, and text. The company plans to use the new funding to expand global access to its AI deepfake detection platform. This includes two recent releases:
- DETECT-3B Omnia deepfake detection model designed for enterprise environments. The company reports 98% detection accuracy in over 38 languages.
- similar to intelligenceis a platform that uses Google’s Gemini 3 model to provide explainability for multimodal AI-generated content.
Resemble AI positions these tools as part of a broader effort to support real-time validation of human users and AI agents interacting with digital content.
The company says the DETECT-3B Omni is already being used in areas such as entertainment, communications and government. Public benchmark results for Hugging Face show that this model performs best in image and audio deepfake detection, with a lower average error rate than competing models.
Industry participants say rapid improvements in generative AI are changing the way companies think about content trust and identity systems. Representatives from Google’s AI Futures Fund, Sony Ventures, and Okta noted that organizations are moving to a verification layer that helps maintain trust in the authentication process.
Alongside the investment announcement, Resemble AI released its outlook on how deepfake-related risks will evolve in 2026. The company anticipates several changes that could shape its corporate plans.
Deepfake verification could become standard for official communications
The company predicts that real-time deepfake detection may eventually be required in official video conferences following incidents involving government officials. Such a move could create new procurement activities and increase adoption in the public sector.
Organizational readiness can determine competitive position
As more jurisdictions adopt AI regulations, companies that integrate training, governance, and compliance processes early may be better able to respond to operational and regulatory demands.
Identity emerges as a central focus for AI security
As many AI-related attacks rely on impersonation, organizations are likely to place greater emphasis on identity-centric security models, such as zero-trust approaches for human and machine identities.
Cyber insurance costs may rise
The rise in corporate deepfake incidents may cause insurance companies to reconsider the insurance policies they offer. Businesses without detection tools may face higher premiums and coverage limitations.
This investment highlights the growing need for companies to understand how generative AI changes their risk exposure. Organizations across all sectors are evaluating how verification, identity protection, and incident response can be incorporated into broader security and compliance strategies.
(Photo courtesy of Pau Casals)
Reference: AWS re:Invent 2025: Frontier AI agents replace chatbots
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