Case Study: Cyberbit achieves enterprise-grade, near-real-time threat detection and reduced false positives with Vertica Analytics Platform

Cyberbit uses behavioral analysis to detect and respond to threats

Cyberbit, a cybersecurity company built to protect high-risk organizations—enterprises, governments, utilities and telecoms—faced a fundamental challenge: modern zero-day attacks target endpoints (workstations and servers) and routinely bypass signature-based antivirus systems. To detect these advanced threats, Cyberbit needed a big-data approach that leverages behavioral analysis and machine learning across massive volumes of endpoint events.

Cyberbit developed the Cyberbit EDR, which continuously records granular endpoint events and uses behavioral algorithms and machine learning to identify malicious activity. Data is processed on the Vertica Analytics Platform for near-real-time ingestion and distributed analytics at the scale of hundreds of thousands of endpoints, delivering higher detection rates, dramatically fewer false positives, fast forensic search capabilities, and enterprise-grade threat detection for large-scale, highly targeted organizations.

Cyberbit

Ofir Barzilay

Vice President R&D