identifAI Named as a Sample Vendor in Gartner® Emerging Tech Impact Radar: Computer Vision 

identifAI has been named as a Sample Vendor in the Deepfake Detection category of the Gartner® Emerging Tech Impact Radar: Computer Vision, published 27 August 2026.

As per Gartner, the objective of this research is to guide product leaders on how emerging technologies and trends are evolving and impacting areas of interest."
Within the report's Deepfake Detection category, identifAI is included among the Sample Vendors. 

For identifAI, the inclusion reflects the growing relevance of technologies designed to help organizations analyze AI-generated and manipulated digital media. 

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identifAI Listed in the Deepfake Detection Category

Within the Deepfake Detection category, Gartner lists identifAI as a Sample Vendor. According to Gartner, "Deepfake detection is an emerging area with capabilities to detect, analyze and perform forensics on fabricated, manipulated, AI-generated or AI-manipulated multimedia, including images, audio, video and live interactions, when the primary purpose is to deceive or disinform.

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What Does identifAI Do? 

identifAI provides technology for detecting AI-generated and AI-altered digital content.

The platform is designed to analyze digital media and support organizations working to assess content authenticity across security, identity and digital-trust workflows. 

identifAI's capabilities include analysis of: 

● Video — detection and analysis of indicators associated with manipulated or AI-generated video. 

● Audio — analysis of voice and audio content for indicators associated with synthetic or manipulated media. 

● Images — analysis of visual content for indicators associated with AI generation or manipulation. 

● Live interactions — capabilities designed to support real-time verification workflows. ● Enterprise workflows — API-based capabilities intended to integrate media analysis into existing applications and processes. 

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Why Deepfake Detection Matters 

The rapid development of generative AI has made it increasingly possible to create convincing synthetic images, video and audio. 

For organizations, this creates new challenges around identity verification, fraud prevention, digital communications and content authenticity. 

Deepfake detection can form part of a broader digital-trust and security strategy by helping organizations assess potentially manipulated media before it is used in sensitive workflows. 

Gartner has separately identified deepfake detection as an emerging area addressing fabricated and manipulated multimedia and has highlighted the growing importance of technologies that help organizations assess digital authenticity. 

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A Multimodal Approach to Synthetic Media Detection 

Synthetic media can appear in different formats, including images, video and audio. As a result, organizations may need detection capabilities that can operate across multiple media types and integrate with existing verification workflows. 

identifAI focuses on detection rather than synthetic-media generation, with technology designed to analyze digital content for indicators associated with AI-generated or manipulated media. 

For organizations evaluating deepfake detection technologies, relevant considerations can include: 

● The types of media supported 

● Detection latency and operational requirements 

● Integration with existing identity and security workflows 

● API and deployment requirements 

● Data handling and privacy requirements

● Testing and validation methodology 

● Ability to support evolving forms of synthetic media 

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Deepfake Detection for Enterprise Digital Trust 

Deepfake detection is increasingly relevant to organizations responsible for maintaining trust in digital interactions. 

Potential applications include: 

● Identity verification 

● Remote interviews and meetings 

● Fraud prevention 

● Financial services workflows 

● Customer onboarding 

● Access and authentication workflows 

● Executive and corporate communications 

● Digital-media verification 

● Content authenticity assessment 

The appropriate approach depends on each organization's risk profile, workflows, regulatory environment and technical requirements. 

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Frequently Asked Questions 

What is deepfake detection? 

Deepfake detection refers to technologies used to detect, analyze or perform forensics on fabricated, manipulated, AI-generated or AI-manipulated multimedia, including images, audio, video and live interactions. 

What does identifAI detect? 

identifAI provides technology for detecting AI-generated and AI-altered digital content, including video, audio and image content. 

Why is deepfake detection important?

Deepfake detection can help organizations assess the authenticity of digital media and address risks associated with synthetic content in identity, fraud, communications and other sensitive workflows. 

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Explore identifAI 

Organizations evaluating deepfake detection and synthetic-media verification can explore identifAI's technology, integration capabilities and enterprise use cases. 

Talk to one of our experts: sales@identifai.net

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Gartner, Emerging Tech Impact Radar: Computer Vision, Nick Ingelbrecht, Alizeh Khare, et al., 27 August 2026. 

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