Case Study: a public safety and threat prevention service provider prevents threats with OWL Intelligence Platform

Deep Dive into OWL’s AI Architecture for Public Safety & Threat Prevention

The customer, a public safety and threat prevention service provider, faced the challenge of proactively identifying and stopping threats like mass shootings and riots, rather than reacting to them after they occur. To meet this challenge, they implemented the OWL Intelligence Platform, an AI-powered security system.

The OWL solution integrated real-time data analytics and machine learning to predict and detect threats, assigning risk scores to potential suspects and automating law enforcement response. The results included the successful prevention of attacks by intercepting suspects before they could act, faster multi-agency coordination, and higher investigation success rates, fundamentally shifting the provider's operations to a proactive, predictive model.