eBPF for Cloud Detection & Response
eBPF (extended Berkeley Packet Filter) is a revolutionary in-kernel virtual machine technology that allows developers to run sandboxed programs within the operating system kernel without changing the kernel source code or loading kernel modules.
Why It Matters
Deep Visibility with Low Overhead: It provides extremely granular visibility into everything happening on a system (process execution, file access, network traffic) directly from the source, with minimal impact on CPU performance.
Agility and Innovation: It eliminates the need for rebooting or compiling kernel modules, allowing security and observability tools to be updated and deployed instantly and safely across production environments.
Future of Observability: It has become the de-facto standard for cloud native observability, networking, and security solutions because it delivers data that was previously impossible to acquire efficiently.
Spyderbat + eBPF Value Proposition
Spyderbat leverages eBPF to deliver a high-performance CDR platform that outperforms legacy EDR through:
"Ground Truth" Data: Captures every system call and kernel event directly, providing a complete record of activity without the blind spots found in standard log files.
Instant Causal Context: Feeds high-fidelity data into an AI engine to automatically map Spydertraces visually linking every process and network connection for immediate root cause analysis.
Kubernetes Optimization: Provides seamless, lightweight security specifically designed for ephemeral container environments where traditional agents are too heavy or fail to maintain context.
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