cloud-native workloads. Gain live and historic contextual views across your Kubernetes, containers, and VM environments to immediately understand the root cause of security and operational issues.

With a highly scalable, cloud-native SaaS architecture, Spyderbat's Automatic Continuous Causal Context (A3C) Engine immediately assembles runtime activities into a visual map based on causal relationships for real time and historic views. The Spyderbat platform monitors every causal sequence of activities within and across your workloads and automatically surfaces threats using actionable intelligence from Spyderbat Labs. The map is fully searchable to crush your investigation time and root cause analysis with a contextual understanding of what is happening. Block attacks against known and unknown vulnerabilities and track attacker's moves across different user sessions, workloads, and long periods of time.

Through Spyderbat’s supported integrations, automated actions, and documented APIs, weave Spyderbat’s workload behavior monitoring and blocking into your existing build practices and notification channels.

See it for yourself! Visit Spyderbat.com to try out our previously captured scenarios or create your own on your own systems.