Google, Sony Innovation Fund, and Okta Invest in Resemble AI to Combat Deepfakes
Resemble AI has secured $13 million in a new strategic funding round dedicated to AI deepfake detection. This investment brings the company's total venture funding to $25 million, backed by investors including Berkeley CalFund, Berkeley Frontier Fund, Comcast Ventures, Craft Ventures, Gentree, Google’s AI Futures Fund, IAG Capital Partners, and others.
The funding arrives amid mounting pressure on organizations to verify the authenticity of digital content. The rise of generative AI has empowered criminals to create highly convincing deepfakes, contributing to over $1.56 billion in fraud losses in 2025. Analysts project that generative AI could fuel up to $40 billion in fraud losses in the United States by 2027.
Recent incidents underscore the rapidly evolving threat landscape. In Singapore, 13 individuals lost more than SGD 360,000 collectively after fraudsters impersonated a telecom provider and the Monetary Authority of Singapore. The attackers employed caller ID spoofing, voice deepfakes, and social engineering tactics that exploited public trust in official institutions.
Deepfake Detection Tools and New AI Capabilities
Resemble AI builds real-time verification tools that enable enterprises to identify AI-generated audio, video, images, and text. The fresh capital will be used to expand global access to its deepfake detection platform, which features two recent product launches:
- DETECT-3B Omni, an enterprise-grade deepfake detection model. The company reports a 98% detection accuracy rate across more than 38 languages.
- Resemble Intelligence, a platform that provides explainability for multimodal and AI-generated content, leveraging Google's Gemini 3 models.
These tools are positioned as part of a comprehensive strategy to support real-time verification for both human users and AI agents engaging with digital content.
According to Resemble AI, DETECT-3B Omni is already deployed in sectors such as entertainment, telecommunications, and government. Public benchmarks on Hugging Face rank the model among the top performers for image and speech deepfake detection, demonstrating a lower average error rate than competing solutions.
Industry stakeholders note that the rapid advancement of generative AI is transforming how enterprises approach content trust and identity systems. Representatives from Google’s AI Futures Fund, Sony Ventures, and Okta observed a shift toward verification layers designed to uphold trust in authentication processes.
Alongside the funding news, Resemble AI published its outlook on the evolution of deepfake risks in 2026, highlighting several trends that could influence enterprise strategy:
Deepfake Verification Could Become Standard for Official Communications
In the wake of incidents targeting government officials, the company anticipates that real-time deepfake detection may become a mandatory feature for official video conferencing. This shift would likely stimulate new procurement cycles and accelerate public sector adoption.
Organizational Readiness May Determine Competitive Positioning
As more jurisdictions implement AI regulations, enterprises that proactively integrate training, governance, and compliance measures may gain an advantage in meeting both operational and regulatory requirements.
Identity Emerges as a Central Focus in AI Security
Given that many AI-driven attacks rely on impersonation, organizations are expected to prioritize identity-centric security models, including zero-trust frameworks for human and machine identities.
Cyber Insurance Costs May Rise
The increasing frequency of corporate deepfake incidents may lead insurers to reevaluate their policy offerings. Companies lacking detection capabilities could face higher premiums or more restrictive coverage terms.
This investment highlights the growing imperative for businesses to assess how generative AI alters their risk profiles. Organizations across all industries are now evaluating how verification tools, identity safeguards, and incident preparedness integrate into their broader security and compliance frameworks.
See also: AWS re:Invent 2025: Frontier AI agents replace chatbots

Explore the latest innovations in AI and big data with industry leaders. Attend the AI & Big Data Expo in Amsterdam, California, and London. This comprehensive event is co-located with other major technology conferences under the TechEx umbrella. Discover more details here.
AI News is brought to you by TechForge Media. Find information on other upcoming enterprise technology events and webinars here.
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Resemble AI kriegt Geld, um Deepfakes zu erkennen – das find ich gut. Es ist wichtig, dass die Tech-Riesen mal in so Projekte investieren und nicht nur in ihre eigenen KI-Generatoren. Könnte ein wichtiger Schritt werden, um Fake-News und Betrug einzudämmen. Hoffentlich können die Tools schnell skalieren! 👏
Resemble AI has secured $13 million in a new strategic funding round dedicated to AI deepfake detection. This investment brings the company's total venture funding to $25 million, backed by investors including Berkeley CalFund, Berkeley Frontier Fund, Comcast Ventures, Craft Ventures, Gentree, Google’s AI Futures Fund, IAG Capital Partners, and others.
The funding arrives amid mounting pressure on organizations to verify the authenticity of digital content. The rise of generative AI has empowered criminals to create highly convincing deepfakes, contributing to over $1.56 billion in fraud losses in 2025. Analysts project that generative AI could fuel up to $40 billion in fraud losses in the United States by 2027.
Recent incidents underscore the rapidly evolving threat landscape. In Singapore, 13 individuals lost more than SGD 360,000 collectively after fraudsters impersonated a telecom provider and the Monetary Authority of Singapore. The attackers employed caller ID spoofing, voice deepfakes, and social engineering tactics that exploited public trust in official institutions.
Deepfake Detection Tools and New AI Capabilities
Resemble AI builds real-time verification tools that enable enterprises to identify AI-generated audio, video, images, and text. The fresh capital will be used to expand global access to its deepfake detection platform, which features two recent product launches:
- DETECT-3B Omni, an enterprise-grade deepfake detection model. The company reports a 98% detection accuracy rate across more than 38 languages.
- Resemble Intelligence, a platform that provides explainability for multimodal and AI-generated content, leveraging Google's Gemini 3 models.
These tools are positioned as part of a comprehensive strategy to support real-time verification for both human users and AI agents engaging with digital content.
According to Resemble AI, DETECT-3B Omni is already deployed in sectors such as entertainment, telecommunications, and government. Public benchmarks on Hugging Face rank the model among the top performers for image and speech deepfake detection, demonstrating a lower average error rate than competing solutions.
Industry stakeholders note that the rapid advancement of generative AI is transforming how enterprises approach content trust and identity systems. Representatives from Google’s AI Futures Fund, Sony Ventures, and Okta observed a shift toward verification layers designed to uphold trust in authentication processes.
Alongside the funding news, Resemble AI published its outlook on the evolution of deepfake risks in 2026, highlighting several trends that could influence enterprise strategy:
Deepfake Verification Could Become Standard for Official Communications
In the wake of incidents targeting government officials, the company anticipates that real-time deepfake detection may become a mandatory feature for official video conferencing. This shift would likely stimulate new procurement cycles and accelerate public sector adoption.
Organizational Readiness May Determine Competitive Positioning
As more jurisdictions implement AI regulations, enterprises that proactively integrate training, governance, and compliance measures may gain an advantage in meeting both operational and regulatory requirements.
Identity Emerges as a Central Focus in AI Security
Given that many AI-driven attacks rely on impersonation, organizations are expected to prioritize identity-centric security models, including zero-trust frameworks for human and machine identities.
Cyber Insurance Costs May Rise
The increasing frequency of corporate deepfake incidents may lead insurers to reevaluate their policy offerings. Companies lacking detection capabilities could face higher premiums or more restrictive coverage terms.
This investment highlights the growing imperative for businesses to assess how generative AI alters their risk profiles. Organizations across all industries are now evaluating how verification tools, identity safeguards, and incident preparedness integrate into their broader security and compliance frameworks.
See also: AWS re:Invent 2025: Frontier AI agents replace chatbots

Explore the latest innovations in AI and big data with industry leaders. Attend the AI & Big Data Expo in Amsterdam, California, and London. This comprehensive event is co-located with other major technology conferences under the TechEx umbrella. Discover more details here.
AI News is brought to you by TechForge Media. Find information on other upcoming enterprise technology events and webinars here.
Google IO 2026 unveils voice interaction with Gmail inbox
Google continues to integrate AI into your inbox. At the IO 2026 developer conference on Tuesday, the company expanded its Gmail "AI Inbox" feature with conversational AI, allowing users to ask questions about their inbox content rather than relying
Google rolls out Gemini in Chrome to India
On Wednesday, Google announced it is expanding Gemini integration for Chrome to new regions, including India, Canada, and New Zealand. This rollout allows desktop users to access Gemini via a sidebar, where they can ask Google’s AI chatbot about on-s
YouTube expands AI deepfake detection to politicians, government officials, and journalists
On Tuesday, YouTube announced it is expanding its deepfake detection technology to a select group of government officials, political candidates, and journalists. The tool identifies AI-generated likenesses and lets pilot participants request the remo
Resemble AI kriegt Geld, um Deepfakes zu erkennen – das find ich gut. Es ist wichtig, dass die Tech-Riesen mal in so Projekte investieren und nicht nur in ihre eigenen KI-Generatoren. Könnte ein wichtiger Schritt werden, um Fake-News und Betrug einzudämmen. Hoffentlich können die Tools schnell skalieren! 👏





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