How to detect voice deepfakes and prevent phishing in real time
Voice Deepfake on the rise: how to detect and block phishing attacks in real time Introduction In recent months, Google Trends has recorded a nearly 100% jump in searches for “deepfake voice” in Brazil – a clear sign that the technology is leaving the lab and entering everyday scams. Criminals are already using AI to mimic the voices of CEOs, relatives, and authorities, and most …
Google Trends has recorded a nearly 100% increase in searches for "deepfake voice" in Brazil. Criminals are using AI to imitate the voices of CEOs, relatives, and authorities to scam victims, often only realizing the deception after losing money. A deepfake voice is an audio generated by neural networks that reproduces the tone, intonation, and pauses of a real person.
A free detector can be built to analyze calls in real-time and send instant alerts. The detector uses tools such as Praat, pyAudioAnalysis, and Resemblyzer to extract parameters and identify anomalies.
Written by urgent.news from Dev.to's report — not a translation of it. Machine-written — may contain errors; check the original before relying on it.