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Spyderbat

Spyderbat provides a purpose-built Cloud Native Runtime Security solution that utilizes eBPF technology to detect, identify, and block cloud threats in real time. By significantly reducing alert noise and investigation time, it enables organizations to automatically stop attacks that traditional security measures often miss.

Austin, United StatesFounded 2019222K+ followers
Updated 20 months ago

Funding

$14.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

NV
Funding rounds are not available yet.

Founders

Product

Problem

Existing Cloud Security Posture Management (CSPM) and passive scanning tools often fail to detect runtime threats in cloud environments, leading to successful breaches and requiring extensive manual investigation. Alert fatigue from excessive noise and false positives further hinders security teams' ability to identify and respond to genuine attacks in real time.

Solution

Spyderbat offers a Cloud Detection and Response (CDR) solution built on eBPF technology to provide real-time visibility into application behavior from the kernel to Kubernetes and the cloud. By continuously recording runtime activity, Spyderbat significantly reduces alert noise and false positives, enabling security teams to focus on genuine threats. The platform automatically detects and blocks attacks, including those targeting known vulnerabilities and zero-day exploits, while providing instant root cause analysis to accelerate investigation and remediation.

Target Audience

Spyderbat targets organizations using cloud and Kubernetes environments that require real-time threat detection, investigation, and response capabilities to protect against runtime attacks.

Features

  • eBPF-based agents for continuous runtime visibility with less than 2% overhead
  • Automatic attack detection and blocking of malicious processes, pods, and connections
  • Root cause analysis with clear chained events to pinpoint the origin and impact of attacks
  • Alert volume reduction through runtime context and noise suppression
  • Visualization of detections mapped to the MITRE ATT&CK Matrix
  • Protection against application drift and zero-day attacks
  • Integration with existing Linux and Kubernetes services
This profile is AI-generated and may contain inaccuracies.