Reality Defender Expands Deepfake Detection with AWS, ZeroFox, and Gartner Boost

This collaboration and validation signal increased maturity in the deepfake detection market, offering enterprises more integrated solutions for AI security. As synthetic media threats escalate, the ability to rapidly integrate detection into existing security workflows becomes critical. Future developments to watch include the adoption rate of such integrated solutions within key sectors like financial services and telecommunications, and how this impacts broader platform-level mitigation strategies for AI-generated content across the streaming ecosystem.

The integration with ZeroFox, announced in early June 2026 (per GlobeNewswire), positions Reality Defender's deepfake detection within ZeroFox's external threat protection platform. This allows ZeroFox analysts to receive multimodal detection verdicts on voice, video, and image directly within their existing workflow, streamlining authenticity assessments and threat disruption. ZeroFox CEO David Muse highlighted the increasing use of AI-generated content in impersonation campaigns, emphasizing the need for early intervention. Ben Colman, CEO of Reality Defender, stated that the goal is to catch synthetic media before it circulates, rather than after takedown (per ID Tech, June 2026).

Reality Defender's ongoing relationship with AWS, including participation in programs like the AWS Generative AI Accelerator, is key to its scalability. The company plans an eventual listing on the AWS Marketplace to further its go-to-market strategy for enterprise clients (per Biometric Update, June 2026). This reflects a broader trend of security firms embedding deepfake detection into platforms where enterprises already operate.

Gartner's December 2025 report, “AI Vendor Race: Reality Defender Is the Company to Beat in Deepfake Detection,” noted Reality Defender's leadership in a nascent market, particularly for high-stakes enterprise verticals (per Reality Defender's insights, December 2025). The report highlighted the company's "ensemble-of-models" approach and its strategic capital and distribution network as key drivers. This third-party validation comes as deepfakes transition from theoretical risks to immediate threats, pushing businesses to expand budgets for AI content integrity and security.