Cisco's AI-Driven Voice Security Transformation Delivers 70% Reduction in Potential Fraud Losses

Cisco IT recently transformed its voice security posture by shifting from reactive, manual processes to a proactive, AI-driven defense. The team responsible for managing Cisco's global voice environment developed an AI/ML-driven nuisance call detection engine that uses behavioral analytics and machine learning to flag suspicious call patterns in real time.

However, the team quickly realized that simply identifying threats was not enough, they needed a way to operationalize the insights provided by this engine. To make these insights actionable at enterprise scale, they needed a platform that could ingest millions of Call Detail Records (CDRs), enrich and correlate data across multiple sources, provide intuitive dashboards for IT and SOC teams, and trigger alerts and automate response workflows.

Splunk Cloud Platform ingests, correlates, visualizes, alerts on, and helps automate response to AI/ML detection outputs in real-time voice security. By integrating Splunk with their AI/ML-driven nuisance call detection engine, Cisco IT was able to transform voice security from reactive investigation into proactive defense.