Vishing attacks are becoming increasingly sophisticated. Scammers use AI-generated voice clones, spoofed numbers and hyperpersonalized scripts to manipulate targets over the phone. These tactics make it harder for traditional call filters and manual checks to catch threats quickly.

As voice-based fraud spreads across industries and scales rapidly, security teams can no longer rely on outdated defenses. There’s a growing need for intelligent, scalable and proactive solutions — especially those powered by AI — to monitor voice traffic in real time, detect anomalies and stop vishing attempts before damage is done.

Why Traditional Vishing Detection Falls Short

Rule-based call screening and reactive threat databases can no longer keep pace with fast-changing vishing tactics. These static systems struggle to detect novel threats, especially when attackers use deepfake audio, number spoofing or context-driven manipulation to sound convincing.

In 2023, nearly 70% of working adults and IT professionals reported encountering a vishing attempt. Organizations need adaptive, real-time AI models as scams grow more deceptive and harder to trace. These programs can learn from new threats, analyze call patterns and respond quickly and precisely...