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Documentation

Welcome to the Furl documentation hub. You’ll find guides, integration setup steps, and the public API reference here.

The backlog of security vulnerabilities is growing at an unsustainable rate. In 2024 alone, an average of 85 new CVEs were identified daily — a 30% increase year over year. Existing remediation tools such as patch management and MDM cover only a fraction of enterprise software, leaving security and remediation teams to fill the gap with manual investigation and coordination.

Furl is an AI-driven remediation platform built for security teams. It automates the coordination and execution of remediation across the manual processes and tools you already use, so organizations can show progress on vulnerability reduction faster — even with constrained headcount.

  • Unify your remediation backlog — Furl pulls work from every endpoint and server vulnerability source into a single backlog so nothing falls through the cracks.
  • Prioritize by security and operational risk — Furl’s risk model combines security severity with operational risk to surface the highest-impact remediations that are most likely to succeed without disrupting the business.
  • Enrich findings with AI context — Furl uses generative AI to attach rich context to each finding so remediators can triage and fix faster.
  • Remediate autonomously — The Furl agent remediates vulnerabilities directly, engages users when manual fixes are required, and exposes patch policies in your existing tools to maximize their ROI.

Ready to set up your organization? Start with the Get Started guide.