Furl is an AI-powered platform for continuous autonomous remediation of security findings. It helps security and IT teams close vulnerabilities, misconfigurations, hygiene gaps, and supply chain exposure across endpoints. Furl integrates with existing scanners (Qualys, Tenable, Rapid7, etc.) and patch tools, maps the environment context, generates fixes tailored to the specific stack, deploys them, validates closure, and rolls back if needed. It handles the half of the attack surface that has no vendor patch, such as hardening gaps and end-of-life systems. The platform operates within guardrails defined by the team, including confidence thresholds and approval gates, ensuring safe autonomous execution.
Key Features
- Context Engineering: Maps what's running, who owns it, and what's business-critical before acting.
- Autonomous Execution: Generates fixes, deploys, validates, and rolls back on failure.
- Guardrails: Configurable confidence thresholds and approval gates to stay within team-defined safety limits.
- Integration with Existing Tools: Plugs into scanners like Qualys, Tenable, Rapid7, CrowdStrike, SentinelOne, and more.
Who It’s For
Security teams and IT teams responsible for vulnerability remediation and endpoint security.
Use Cases
- Closing vulnerabilities and misconfigurations on endpoints.
- Handling unpatchable issues (hardening gaps, legacy software, end-of-life systems).
- Reducing the backlog of open risk that no other tool addresses.
Key Benefits
- Autonomous remediation without manual tickets or handoffs
- Handles unpatchable issues like misconfigurations and hardening gaps
- Integrates with existing scanners and tools
- Guardrails and rollback for safe execution
