Alex Martin discusses how AI-generated fraud is increasing across insurance and government systems.
Traditional screening and vetting methods rely on documents, databases, and historical data, which can be incomplete, outdated, or manipulated.
Clearspeed’s voice-based risk assessment technology analyzes digital voice signals in response to yes/no questions to detect risk without using personal data, language, or biometrics.
The technology produces a real-time risk score (low to high risk), enabling faster triage and decision-making in high-volume environments.
Originally developed for defense and security use, Clearspeed is now applied to insurance claims triage, fraud detection, and government vetting workflows.
Why It Matters
AI-generated fraud is accelerating: Synthetic identities, fabricated claims, and manipulated documentation are increasing the scale and complexity of fraud.
Faster decisions at first touch: Real-time risk scoring helps organizations clear low-risk claims and applicants quickly, while focusing resources on higher-risk cases.
Improved fraud detection in insurance: Early risk identification strengthens claims triage and fraud detection, helping reduce unnecessary investigations and costs.
Privacy-first risk assessment: Clearspeed delivers a risk signal without relying on PII, language analysis, or historical profiles, supporting privacy and compliance.
Dual-use impact across sectors: Technology developed for defense vetting is now helping insurers and government agencies address large-scale fraud and risk challenges.
