Reality Defender detects deepfakes and AI-manipulated media across audio, video and images. It analyzes live calls, meetings and uploaded files with an ensemble of models, then returns an independent signal to your existing systems so your own rules can verify, route or block the content. Deployment is tailored to the customer environment, and developers can reach the detection engine through an API and SDKs, with a free allowance of 50 audio or image scans per month. The company was named a Market Shaper in deepfake detection in a June 2026 Gartner report, and positions its offering as an authenticity layer for enterprise communications.
Security and fraud teams at banks, insurers, government agencies and large enterprises are the main audience. Contact center managers, identity and access teams, trust and safety groups, and executive protection staff use it to confirm that a caller, a participant or a file is real. Developers building verification into their own products can start on the free API tier before moving to an enterprise arrangement. Compliance officers and CISOs evaluating synthetic-media risk will also fit, as will HR and recruiting teams verifying remote candidates.
Common scenarios include screening inbound calls for cloned voices before an agent acts on a request, verifying participants in video conferences, adding checks to know-your-customer onboarding, and flagging synthetic recordings of executives before they spread. Recruiting teams use it to confirm candidates during remote hiring, and platforms use it to check uploaded media. Solutions are organized around contact center security, access security and fraud prevention, secure video conferencing, and brand and executive protection. Finance, government and enterprise customers each have tailored use cases, covering call center fraud, video conferencing user verification, identity and access management, and executive impersonation. Partners can embed detection into threat protection products, as Zerofox has done.
