Spyderbat
Cloud-native runtime security platform using eBPF to trace process, network and identity activity across Linux VMs and Kubernetes.
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Spyderbat is a runtime security platform for Linux hosts and Kubernetes clusters. It uses eBPF sensors to record process, network and user activity and links them into causal chains, so analysts can see how an event unfolded rather than reading isolated alerts.
The platform detects and can block threats at runtime and is aimed at reducing false positives in cloud workloads. It is based in Austin, Texas, and has raised about $14M, including a $10M Series A led by NTTVC announced in October 2022.
Innovation Matrix Assessment
Early and sustained eBPF investment; Latio describes it as among the first to invest heavily in eBPF tooling.
Causal tracing of activity chains can reduce investigation time, though quantified customer outcomes were not found.
Disclosed funding of roughly $14M and no round found after 2022; modest visible traction.
Causal-graph approach differs from alert-centric runtime tools but sits in a crowded CWPP/runtime segment.
Industry award recognition found; no independent test results or named incident evidence located.
Runtime visibility in Kubernetes and Linux remains relevant as workloads stay cloud-native.
Why CISOs Should Care
Runtime causal traces give cloud teams context on how a workload compromise unfolded, which shortens triage.
What Makes It Different
Builds activity chains from eBPF telemetry instead of raising independent alerts.
The Matrix Verdict
52/100 — INCREMENTAL INNOVATOR
Spyderbat is an Incremental Innovator. Its eBPF-based causal tracing is technically credible, but limited funding, no recent rounds and little independent efficacy evidence hold back momentum and efficacy scores.
Editorial Note: Claims vs. Verified Findings
Detection and false-positive claims are vendor-stated. Funding is confirmed by SecurityWeek and founding year differs across sources (2019 vs 2020).
Sources
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