Thirty years of cybersecurity made systems hard to breach, so AI now goes after the humans inside them. Gartner calls the answer a Digital Trust and Authenticity Platform (DTAP): technology that authenticates what is real and flags what is fake. This page explains the category, who is in it, and how Netarx delivers it across every channel at once.
A Digital Trust and Authenticity Platform (DTAP) is technology that authenticates what is real and flags what is fake across digital communications and content: the voices on a call, the faces in a meeting, the sender behind an email or message, and the files that move between them.
The term comes from Gartner's March 5, 2026 report Emerging Tech: AI Vendor Race: Eroding Digital Trust Threatens the Global Economy, Forcing Adoption of Digital Trust and Authenticity Platforms (G00840381, by Alfredo Ramirez IV and Apeksha Kaushik). Its premise is simple: as the share of synthetic content grows, the economy cannot run on the assumption that a voice, a face or a message is what it appears to be. Something has to authenticate it.
The word that matters is platform. A detector scores a clip. A platform sits in the flow of communication, across channels, and tells the people in it what to trust.
Gartner's full capability model is available to its clients. These five requirements are how Netarx reads the category, based on how AI-driven impersonation attacks actually unfold.
Traditional security authenticates devices, credentials and sessions. A DTAP authenticates the human in the conversation: is the voice on this call, the face in this meeting, the sender of this email the person they claim to be? That question has to be answered continuously, because an attacker can take over a legitimate session after login.
Cloned voices, face swaps and real-time avatars are now cheap enough to use against ordinary employees. A DTAP inspects the audio and video stream while the conversation is happening and returns a verdict before money moves or credentials are reset, not in a forensic report afterwards.
Media analysis alone is a bet that the fake will leave a trace in the pixels or the audio. A DTAP also weighs device, network, IP and location, whether the participant matches the calendar invite, and whether the contact fits the person's real communication history. Agreement across independent signals is what produces a verdict people can trust.
A trust signal only works if the person on the call can see it and understand it. A DTAP surfaces its verdict inside the tools people already use, as a plain indicator rather than a SOC alert, and does the same in the inbox, the help desk and the mobile phone.
Real impersonation campaigns move across channels: a text to set up the call, a voice call to build urgency, a video meeting to close. A platform that protects one meeting app or one contact center leaves the rest of the path open. The category is defined by breadth of coverage, not by a single detector.
Netarx positions NIK as a Digital Trust and Authenticity Platform: one product that authenticates the people and media on calls, in meetings, in email and in messaging, and gives every user a verdict they can act on. Netarx covers more channels than any vendor on this page and runs on the user’s own device, so the same trust signal follows the person across apps.
NIK is offered four ways: the NIK Agent for Windows and Mac, NIK Lite as a browser extension, the NIK App for iOS and Android, and NIK Zero, a meeting bot and API for call centers, workflows and stored media. See pricing and the API documentation.
Gartner lists nine Sample Vendors in the report, described as illustrative and not exhaustive. A vendor's inclusion is only public when the vendor announces it. Here is where each platform in our deepfake detection buyer's guide stands relative to the category, as of October 24, 2026.
Netarx positions NIK as a Digital Trust and Authenticity Platform: one product that authenticates the people and media on calls, in meetings, in email and in messaging, and gives every user a verdict they can act on. Netarx covers more channels than any vendor on this page and runs on the user’s own device, so the same trust signal follows the person across apps.
Named a Market Shaper in Gartner’s 2026 Emerging Market Quadrant for deepfake detection startup vendors. Its public positioning is deepfake detection delivered through APIs and apps; as of our review it had not adopted DTAP or trust-and-authenticity language.
Netarx vs Reality DefenderMarkets GetReal Protect as a “trust and authenticity platform” (May 2026) that combines deepfake detection, impersonation detection and continuous identity verification on voice and video. Named a Market Shaper in Gartner’s 2026 Emerging Market Quadrant for deepfake detection startups. Its announcement does not reference the Gartner DTAP report.
Netarx vs GetReal SecurityNamed a Sample Vendor in Gartner’s March 2026 report on Digital Trust and Authenticity Platforms and positions itself as an identity trust layer for real-time communications, centered on contact-center voice and meetings.
Netarx vs PindropPositions on voice deepfake detection, voice cloning and audio watermarking; as of our review it had not adopted DTAP or trust-and-authenticity positioning.
Netarx vs Resemble AIItalian deepfake detection vendor named in Gartner’s 2026 Emerging Tech: AI Vendor Race report on Digital Trust and Authenticity Platforms, and in the 2026 Hype Cycle for AI-Driven Cybersecurity. Partnered with Tinexta InfoCert for digital identity.
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A Digital Trust and Authenticity Platform (DTAP) is technology that authenticates what is real and flags what is fake across digital communications and content: the voices on a call, the faces in a meeting, the sender behind an email or message, and the files that move between them. Gartner introduced the category in its March 2026 report Emerging Tech: AI Vendor Race: Eroding Digital Trust Threatens the Global Economy, Forcing Adoption of Digital Trust and Authenticity Platforms, which argues that the erosion of digital trust is forcing organizations to adopt platforms that can tell authentic communications and content from synthetic ones.
Deepfake detection is one capability inside a DTAP. Detection asks whether a piece of media is synthetic. A DTAP asks the larger question, whether the person and the content in front of you are authentic, and answers it continuously, across channels, with signals beyond the media itself, such as device, network, identity and communication history. A point detector tells you a clip is fake; a DTAP tells your employee whether to trust the call they are on.
Identity verification and MFA authenticate at a moment: onboarding, login, a step-up challenge. A DTAP authenticates during the interaction, after login, where deepfake and social engineering attacks actually happen. Most organizations need both: the identity layer to establish who someone is, and the DTAP to confirm it is still them on the call, in the meeting or behind the email.
Firewalls and filters protect systems and inspect content for known bad patterns. AI-generated impersonation uses clean infrastructure and novel content, and targets a human decision rather than a system weakness. Awareness training helps, but no amount of training lets a person reliably spot a modern voice clone or real-time avatar. A DTAP puts a verdict next to the conversation so the person does not have to judge it unaided.
Gartner lists nine Sample Vendors in its DTAP report. Vendors publicly confirming inclusion as of October 24, 2026 include Pindrop and identifAI. GetReal Security markets its product as a trust and authenticity platform. Reality Defender and Resemble AI are deepfake detection specialists that overlap with the category. Netarx positions NIK as a DTAP that covers voice, video, images, email and SMS/messaging in one product. See the vendor landscape on this page and the full comparison in our deepfake detection buyer's guide.
Yes. Netarx Identity Key (NIK) authenticates the people and media on video calls (Teams, Zoom, Google Meet, Webex), phone and contact-center calls, email and messaging, using 1,000+ signals across 40 AI models, and shows every user a green, yellow or red verdict. It is available as an endpoint agent, a browser extension, a mobile app, a meeting bot and an API, and is free for individuals and for teams of 10 or fewer.
Which channels are covered in production today; whether the verdict is delivered during the live interaction; what signals beyond the media are used; the false-positive rate measured on the buyer's own calls; what media is retained and whether any is used for training; whether biometric templates are created; and how pricing behaves at real meeting and call volume.
NIK is free for individuals and teams of 10 or fewer. Install it, invite a deepfake to your next meeting and watch the verdict.
