VeriCall® Technology is designed to bolster defenses and optimize Interactive Voice Response (IVR) system performance. It enables the analysis of calls for risk by implementing ANI validation and Spoof Proof® detection, all without requiring any action from the agent or caller. This technology allows organizations to move away from time-consuming and less effective authentication questions while maintaining robust security. VeriCall® receives and analyzes call metadata directly from the IVR, including the phone number, to provide a rapid risk score. By integrating seamlessly with existing systems via a lightweight API, it increases confidence in IVR systems, allowing customers to self-serve securely. This leads to reduced average handle times by eliminating the need for security questions and One-Time Passwords (OTPs), thereby improving customer experience and call resolution rates. It also enhances IVR and agent efficiency by expanding self-service options and increasing self-service rates without compromising security. VeriCall® identifies risks early by detecting spoofing, enabling stepped-up security for risky calls to protect customer data and company reputation. It prioritizes efficiency and security by filling gaps in existing authentication systems with more accurate and faster ANI validation and spoof detection. The technology catches risky calls by analyzing call metadata for suspicious indicators before they reach an agent, helping to spot fraud early. It handles calls faster by passively evaluating call metadata in the IVR, removing the need for lengthy security procedures. Furthermore, VeriCall® stays ahead of fraudsters with machine-learning-driven technology that continuously learns and adapts to emerging threats.

Features & Benefits

• ANI Validation & Spoof Proof® Detection: Analyzes call metadata for risk and spoofing without agent or caller interaction.
• Seamless IVR Integration: Lightweight API integrates with existing systems, allowing secure customer self-service.
• Reduced Handle Time & Improved CX: Eliminates security questions and OTPs, improving customer experience and call resolution.
• Enhanced Efficiency & Security: Expands self-service options while detecting spoofing and protecting customer data.
• Machine-Learning Driven Threat Adaptation: Continuously learns and adapts to emerging fraud threats.