What just happened
According to World, World ID for Zoom is available to Zoom’s enterprise customers globally through the Zoom Marketplace. World says the tool is designed to help confirm whether the person in a video meeting is a real human. After a participant completes the process, their Zoom tile displays a Human Badge that is visible to all meeting participants.
World also cited a 2025 Gartner survey of cybersecurity leaders in which 62% of respondents said their organization had been subjected to a deepfake attack in the previous year. The Zoom integration is one approach that does not rely on deepfake detection, according to World.
How the three-way check works
World ID for Zoom runs on AWS and matches three different images before a Human Badge appears, according to World’s own product page. First, the participant scans their iris at an Orb device, where the Orb image is cryptographically signed during the process of claiming a Proof of Human. According to World, the Orb image “provides a ground truth and cannot be deepfaked or changed.” Second, when the participant joins a Zoom call, the World app asks for a live selfie on the participant’s own phone as a liveness check. Third, the system pulls a frame from the participant’s live video feed on Zoom and compares it against the Orb scan and the selfie.
Meeting hosts can set how long a badge stays valid before the participant must reauthenticate. According to World, hosts can soon enable a World ID for Zoom Waiting Room in which participants present their Proof of Human prior to joining the meeting, and hosts can also request that participants present Proofs during the meeting.
The design choice is meant to sidestep the arms race that World says has defined deepfake detection. Detection tools analyze video frames and try to predict whether an image is synthetic, and even a single missed deepfake can be costly. According to World, World ID for Zoom takes a different approach by providing “a safe connection through cryptographic Proof of Human.”
Why the timing matters
The capability of synthetic video has jumped in a single model generation. Tavus reported that 48% of people who spent a minute on a live video call with its Griffin-Lite model believed they had been talking to another person, a rate close to chance, according to coverage of the Tavus study. Hacker Noon reported that the previous Tavus system convinced one caller out of 41 and described the jump from 2.4% to 48% as happening between two Tavus systems. Hacker Noon reported that Tavus also reported results on NVIDIA’s VideoFDB benchmark in which Griffin-Lite closed about 92% of the distance between the previous system and a person on the generation track, which scores fluency, matched emotion and nonverbal behaviour.
That progress matches earlier work on text-based Turing tests. A UC San Diego study by Cameron Jones and Benjamin Bergen found that GPT-4.5 with a persona prompt was judged human 73% of the time in five-minute three-party text chats, while LLaMa-3.1-405B reached 56% and the 1960s chatbot ELIZA managed 23%. Video had lagged text because faces, timing and gaze carry extra social information, which is why the Griffin result is being treated as a milestone for the field.
Who is using it
World named Bain Capital, OpenExchange, Outtake, Pantera Capital, and VanEck Funds as initial design partners for the broader identity verification technology, according to World’s announcement. VanEck Funds was a partner in a limited beta of the Zoom integration that began in April, according to Cointelegraph. The system is available globally to Zoom enterprise customers.
Cointelegraph reported that World is funded by OpenAI’s Sam Altman. Hacker Noon described World as the proof-of-human network built by Tools for Humanity. The company framed the rollout in a statement quoted by Fortune, saying the product is built to protect sensitive, high-stakes conversations by proving that a real and unique human is present.
What it does and what it does not do
The badge shows other participants that the person on camera matched a Proof of Human that was previously claimed at an Orb, based on the three-image comparison described above. World describes World ID for Zoom as designed to help confirm that a participant is a real person during calls.
Availability is the other practical limit. World ID for Zoom is available to Zoom enterprise customers globally through the Zoom Marketplace. Smaller teams and individual users may need to check whether they are covered by an enterprise plan or look into how the World app works outside of Zoom calls.
What to do now
- Audit which of your recurring calls carry the highest financial or operational stakes, such as wire approvals, treasury sign-offs, code deployments, and board votes, and flag those meetings as candidates for a presence check.
- Confirm whether your Zoom plan is enterprise tier, since the badge is available to Zoom enterprise customers.
- If you operate in a regulated environment, consider documenting any identity verification step you adopt in your security policy and review how often reauthentication is required during long meetings.
- Use verification and security controls for sensitive actions rather than relying only on a presence indicator.
FAQ
What is the World ‘proof of human’ badge on Zoom?
According to Tools for Humanity, a Human Badge may appear next to a Zoom participant’s name when their iris scan from World’s Orb, a live selfie in the World app, and a frame from their live Zoom video feed all match. World says the process matches those inputs, while a displayed Human Badge is visible to all meeting participants.
How does World verify someone is human before a Zoom call?
A user may first scan their iris at a World Orb to create a cryptographically signed identity record. When they later join a Zoom enterprise call, the system may capture a live selfie on the participant’s phone and compare it against the Orb scan and the live video feed. If all three match, a Human Badge may appear to other participants.
Why is Zoom adding human verification badges?
World and Zoom point to a rise in deepfake attacks on video calls.
Sources
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