Veritas Retail LossGuard

Veritas LossGuard utilizes deep learning models to analyze video feeds in real-time, identifying complex behaviors indicative of theft. Unlike traditional EAS tags, it looks for predictive analytics and operational failures to alert management proactively.

LossGuard falls into the proactive loss prevention and retail analytics software category. It goes beyond simple security cameras by setting an industry benchmark for using AI to monitor operational integrity and prevent theft before it happens.

To effectively identify operational failures and point-of-sale theft, LossGuard's deep learning models typically integrate with a store's Point of Sale (POS) system. This allows the software to cross-reference video feeds with register transactions in real time.

Because its strength lies in its predictive analytics and real-time analysis, the system alerts management almost instantaneously when it detects a complex behavior indicative of theft. This allows security personnel to intervene while the suspected individual is still in the store.