Product Positioning & Context
The person on your next video call might not be real. With Halo you don't have to guess. Halo secures your Zoom, Teams, or Google Meet call live and flags synthetic faces the moment it detects one, entirely on your device. Deepfake video calls are already being used to scam people and businesses around the world, it's just that most people have no way to tell. From confirming who you're hiring to confirming who you're wiring money to, Halo catches it before it costs you.
Related Ecosystem & Alternatives
Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.
Deep-Dive FAQs
What is Halo by Scam AI?
Halo by Scam AI is a digital product or tool described as: Know who’s real on every video call
Where did Halo by Scam AI originate?
Data for Halo by Scam AI was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was Halo by Scam AI publicly launched?
The initial public indexing or launch date for Halo by Scam AI within our tracked developer communities was recorded on July 31, 2026.
How popular is Halo by Scam AI?
Halo by Scam AI has achieved measurable traction, logging over 155 traction score and facilitating 28 recorded discussions or engagements.
Which technical categories define Halo by Scam AI?
Based on metadata extraction, Halo by Scam AI is categorized under topics such as: Meetings, Artificial Intelligence, Security.
What are some commercial alternatives to Halo by Scam AI?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as Navige, which offers overlapping value propositions.
How does the creator describe Halo by Scam AI?
The original author or development team describes the product as follows: "The person on your next video call might not be real. With Halo you don't have to guess. Halo secures your Zoom, Teams, or Google Meet call live and flags synthetic faces the moment it detects one,..."
Community Voice & Feedback
Already used the plugin for a few meetings already and seems to working well. Looking forward to seeing enhancements from this. 🔥
Congrats on the launch, Neo!I have 2 questions:How does Halo detect new deepfake models it hasn’t seen before? And my second question: how do you avoid false alarms during calls?
How often does something like this happen?
Really exciting launch—congrats on Halo by Scam AI! Love seeing practical tools like this reach more people. 🚀
I appreciate products that reduce anxiety around everyday internet use. I’d definitely use this before opening unfamiliar links or payment requests
Congrats on the launch, Neo! The "catch it during the call" angle is what really sets Halo apart — most deepfake tools I've seen assume you already have a recording to analyze after the fact, which is basically useless mid wire-transfer conversation.One question: since Halo runs entirely on-device, how does it actually hook into the meeting client? Virtual camera, native SDK integration, or a browser extension for Meet? Curious how the coverage differs across Zoom desktop vs. Meet in the browser.
The part I'm proudest of: getting the detection to run live and fully on-device.Nothing about your meeting ever leaves your machine. Real-time was the non-negotiable constraint. A report that only lands after you've already wired the money isn't detection, it's an autopsy.
Remember how some guys created a tool that creates AI live video chats. It seems that when you create one solution, you need to create another "anti-solution". Do you already have your user base?
Does it hook into the system audio/video pipeline via virtual camera, or is it reading the display buffer directly? congrats for shipping 🙌
The Arup case is exactly the story that makes the case for this on its own. Curious about the failure mode in the other direction though, what happens when it flags a real person as synthetic because of bad lighting or a compressed webcam feed mid call. Does it surface a warning you can dismiss, or does it interrupt the call, since getting that wrong costs you a real relationship, not just a false sense of security.
Congrats lads
Congrats guys!
Hi Product Hunt 👋I'm Neo, co-founder of Scam AI, and I'm excited to introduce Halo a real-time, on-device deepfake AI model for video meetings. It secures your Zoom, Teams, or Google Meet call live and flags synthetic faces the moment it detects one.In 2024, a finance employee at Arup joined a video call with what looked like his CFO and several colleagues. Every face on that call was a deepfake. He wired $25 million before anyone realized.We kept coming back to that story because almost everything built to catch deepfakes works after the fact: you upload a recording, wait, and get a report once the decision has already been made. Nothing was built to catch it while the call is still happening, when it actually matters.What Halo does:Secures Zoom, Teams, and Google Meet calls liveFlags synthetic faces in real time, in real timeRuns entirely on-device, no recordings, no cloud inferenceBuilt for the moments trust actually gets tested on video: confirming who you're interviewing, confirming who you're wiring money toHalo is live now at scam.ai/halo. I'll be here all day, happy to answer anything about how it works, and to help however I can!
Discovery Source
Product Hunt Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
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Deep Research & Science
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SaaS Metrics