How to Prevent Voice Phishing Attacks
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A Conversation with GoodLabs + Confluent
Available On-demand
Many financial institutions have implemented voice biometrics systems as a security measure to authenticate and verify the identities of their customers. However, with the rapid advancement of AI, particularly in voice cloning technologies, a pressing question arises: How effective are these systems against AI-generated cloned voices? As voice cloning AI continues to evolve, it is crucial for organizations to rigorously test and evaluate the resilience of their voice biometrics systems.
GoodLabs’ vishing penetration test strategy is designed to help financial institutions periodically assess and enhance their voice biometrics systems and evaluate potential vendors. Their AI vishing detector employs a multi-layered detection mechanism that incorporates acoustic analysis, linguistic pattern recognition, and behavioral anomaly detection to distinguish between genuine and AI-generated voice communications.
Join this webinar to learn how GoodLabs Studio utilizes Confluent and Apache Flink® to create their Vishing Penetration Testing System, and how it can help prevent voice phishing attacks.