Spyderbat is a cloud-native runtime security platform designed to detect, investigate, and respond to threats in hybrid and multi-cloud environments, including Kubernetes and Linux systems. Leveraging eBPF technology, Spyderbat provides continuous visualization of runtime application behavior from the kernel to the cloud, enabling organizations to reduce alert noise and automatically block attacks in real time. Key Features and Functionality: - Comprehensive Visibility: Utilizes eBPF agents to monitor all runtime activities across cloud systems and containers, forming a detailed behavioral web of system and user interactions. - Instant Detection and Response: Automatically identifies application drifts and linked symptoms of attacks, providing tools to automate responses and quickly determine root causes. - Reduced Alert Fatigue: Minimizes false positives by linking suspicious behaviors into continuous traces of activity, ensuring that only genuine threats are surfaced. - Low Resource Overhead: Operates with less than 2% agent overhead, ensuring minimal impact on system performance. Primary Value and Problem Solved: Spyderbat addresses the challenges of traditional security operations, which often involve manual, time-consuming investigations and an overwhelming volume of alerts. By continuously recording and analyzing runtime behaviors, Spyderbat provides immediate context and root cause analysis, significantly reducing investigation times from hours to minutes. This proactive approach enhances security posture, ensures higher uptime, and aligns with service level objectives and agreements.