Case Study: Cybersecurity SaaS Provider achieves real-time threat detection with Zymr's AI-native cybersecurity platform

Cybersecurity SaaS Provider boosts threat detection accuracy to 99.5% with Zymr

The customer, a cybersecurity SaaS provider, faced significant challenges in detecting advanced cyber threats across its rapidly expanding cloud environments. Their existing rule-based methods struggled to identify unknown attack patterns and process millions of security events in real time without high latency. They partnered with Zymr to build an AI-native platform that could deliver scalable, intelligent, and low-latency threat detection.

Zymr engineered an AI-powered threat detection platform on Google Cloud Platform, leveraging machine learning and real-time analytics. The solution processed over 50 million security events daily and achieved sub-second detection times. The measurable outcomes for the customer included a 99.5% threat detection accuracy rate, a 60% faster threat response time, and a 70% reduction in false positive alerts.