Case Study: a physical access control company achieves real-time anomaly detection with Ideas2IT Technologies

Physical Access Control Company reduces false positives by 65% with Ideas2IT Technologies

The physical access control company needed to add real-time anomaly detection to its platform, which processed tens of millions of daily access events, without introducing any latency to the user experience. Its existing rule-based system was missing nuanced threats. Ideas2IT was engaged to engineer a solution using agentic AI and artificial intelligence to address this challenge.

Ideas2IT built a high-throughput, streaming anomaly detection engine powered by Apache Kafka. The solution processes over 50 million events per day, scoring risk contextually in microseconds across geographic, behavioral, and temporal signals. This resulted in a 65% reduction in false positives and provided full threat visibility with zero impact on access performance for the customer.