NEW STREAMING AUDIO DETECTION CAPABILITY IDENTIFIES SYNTHETIC AND AI-GENERATED AUDIO IN REAL TIME — LIKE SHAZAM, BUT FOR FAKE AUDIO
VANCOUVER, BC, July 7, 2026 /CNW/ - Hydaway Digital Corp. (TSXV: HIDE) (OTCQB: HIDDF) (FSE: C88) ("Hydaway" or the "Company") is pleased to announce the launch of Streaming Audio Detection, a breakthrough real-time audio deepfake identification capability now available within the RealityChek platform for enterprise clients at detect.realitychek.com. The feature enables the continuous, real-time analysis of live audio streams to identify whether audio content is authentic or AI-generated — functioning analogously to how Shazam identifies music, but applied to the detection of synthetic or deepfake audio.
Voice cloning and AI-generated audio have emerged as one of the most rapidly escalating threat vectors in digital fraud. Synthetic voices are now being used in real-time phone scams impersonating executives, politicians, and family members; in fraudulent media content designed to deceive journalists and the public; in call center fraud; and in identity bypass attacks targeting voice-authenticated financial and government systems. Existing detection methods have largely focused on analyzing pre-recorded audio files after the fact — a workflow that is too slow and too reactive for environments where real-time trust decisions must be made.
RealityChek's Streaming Audio Detection addresses this gap by performing forensic audio analysis continuously on a live audio stream, delivering detection verdicts in real time as audio is received. The system analyzes spectral patterns, prosodic markers, compression artifacts, and generative model signatures that are characteristic of AI-synthesized speech — enabling enterprises to flag or block synthetic audio before it reaches its intended target or completes its deception.
The feature is designed for integration into a wide range of enterprise use cases, including call center fraud prevention, live media monitoring, voice authentication systems, compliance recording analysis, and real-time communications security. It is accessible through the RealityChek API and enterprise detection interface, with an architecture designed for low-latency deployment in streaming environments.
Karl Kottmeier, CEO of Hydaway, said, "Audio deepfakes are the sleeper threat of the AI fraud landscape. Most organizations are still thinking about this problem in terms of static file uploads and post-hoc analysis — but the real damage is happening in real time, over the phone, in live broadcasts, in executive impersonation calls. Our Streaming Audio Detection brings the speed of real-time analysis to a problem that has never had a real-time solution before. Think of it as a lie detector for live audio — and one that never sleeps."