Scam.ai and Qualcomm launch Halo on-device deepfake detector
Scam.ai and Qualcomm announced Halo, an on-device model that detects deepfake video in real time during desktop video calls at Computex 2026 in Taipei on June 29, 2026.
Scam.ai and Qualcomm unveiled Halo on June 29, 2026 at Computex in Taipei. Halo is an on-device model designed to detect synthetic or AI-generated video in real time during desktop video calls and runs locally on personal computers powered by Qualcomm hardware.
Scam.ai said the Qualcomm partnership provides access to device ecosystem resources and optimization support that allow Halo to operate without sending video to the cloud. The model runs in the background of video conferencing sessions on compatible desktops and flags suspected deepfakes while calls are ongoing. Halo became available in June 2026, and the company plans to announce enterprise integration details and additional platform partnerships in the coming months.
Scam.ai identified primary use cases as recruiting teams conducting video interviews and senior executives and other participants in high-stakes calls. The company cited two industry figures: 31% of HR leaders report feeling equipped to detect identity fraud in video interviews, and reported deepfake fraud attempts have increased more than 2,000% over the past three years.
Scam.ai described three technical features of Halo. The system analyzes video during live calls rather than after the fact, performs processing on the user’s device so footage does not leave the computer, and operates passively without altering existing call workflows. Scam.ai said on-device processing reduces latency and limits exposure of sensitive footage to external servers.
Dennis Ng, co-founder of Scam.ai, told attendees at Computex that enterprises face growing risks from deepfakes and that checking video locally can help block fraudulent attempts at the source.
Headquartered in San Francisco, Scam.ai markets a real-time deepfake detection platform built on a proprietary on-device AI engine. The company has focused deployment on scenarios it describes as high risk for identity fraud, including hiring, executive communications and financial calls. Further technical details and enterprise deployment options are expected in future company announcements.
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