Real-time deepfake detection for live voice, video and images
Reality Defender detects deepfakes and AI-driven fraud across live calls, video and images, built on a multi-cloud base of AWS, Azure and GCP with PyTorch and JAX for model work. Job posts point to a Microsoft Teams integration and real-time media features, backed by .NET, C# and Microsoft Graph. SOC 2, ISO and FedRAMP compliance work signals a push into government and regulated buyers. Hiring has slowed and is weighted toward senior engineers.
Reality Defender is a New York-based, privately held cybersecurity company founded in 2021 with 51–200 employees. It builds detection technology that identifies manipulated and AI-generated media across voice, video and images. Its customers are enterprise and government organizations facing fraud risks such as voice impersonation, KYC fraud and identity verification attacks. The company also offers developer API access so teams can embed detection into their own applications. Current hiring is centered in the United States across engineering, sales and communications.
Reality Defender runs on AWS, Azure and GCP with Kubernetes, Terraform and Pulumi. Its ML work uses Python, PyTorch and JAX, and its product code uses React, TypeScript, Go, .NET and C#. HubSpot and Salesforce support sales.
Yes. Engineering is the company's main hiring focus, and most openings are senior-level. Sales and communications roles are also open. All hiring is in the United States, and overall hiring velocity is slowing.
Job posts point to cloud infrastructure work across AWS and Azure, infrastructure as code with Terraform, a Microsoft Teams integration, real-time audio and video features, and SOC 2, ISO and FedRAMP compliance.
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Reality Defender's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.