Cisco IT Cuts Toll Fraud Losses by 70% with AI-Powered Voice Security
Cisco IT implemented AI to modernize voice security and eliminate hidden costs and compliance liabilities. With millions of calls flowing across their global environment daily, they realized the need for a proactive approach to mitigate threats before they emerged.
Their traditional methods of defense, relying on manual blocklists, carrier alerts, and static controls, were no longer effective against sophisticated nuisance calls. They needed an AI-driven solution that could provide behavioral context, explainability, and scalability.
Cisco built a composite risk-scoring engine, unifying their voice environment with Splunk Cloud Platform to ingest and normalize massive volumes of Call Detail Records (CDRs). This allowed them to correlate user-level call data, infrastructure telemetry, and global threat intelligence in real-time.
The results were significant: 70% reduction in toll fraud losses, 60% reduction in manual investigation effort, and enhanced security with faster detection of emerging threats. Cisco's approach provides a blueprint for modernizing voice security, starting with visibility and applying behavioral intelligence where it adds value.