Use cases
Detection of behavior deviations
The Challenge
Streaming network logs to syslog or SIEM servers enhances visibility, but it remains insufficient for effectively monitoring behavior patterns in cloud environments. Security teams often face challenges in identifying behavioral anomalies and detecting threats that extend beyond basic IP and DNS reputation analysis. Without timely detection, organizations risk prolonged exposure, greater damage, and increased costs.
The CloudFence solution
Comprehensive baselines of behavior patterns for cloud workloads
CloudFence harnesses advanced AI and machine learning to continuously analyze network communications and identity activities across cloud workloads. By leveraging native cloud logs—including AWS VPC Flow Logs, CloudTrail, and Azure NSG Flow Logs—it builds dynamic, baselines of normal behavior for each workload. This proactive approach enables security teams to rapidly detect anomalies, and respond with greater precision, strengthening cloud security with AI-driven insights.
Transform your cloud networking and security operations from reactive log analysis to proactive threat prevention.
We continuously stream your cloud network logs through our analytics engine, enabling your security team to identify suspicious activities within minutes.
