Furl raises $10M Seed round to bring agentic AI to security remediation

What happened

Furl raises $10M Seed round to bring agentic AI to security remediation was announced on January 21, 2026, when Furl, a security remediation startup, secured $10 million in Seed funding led by Ten Eleven Ventures with participation from Rapid7 CEO Corey Thomas and Open Opportunity Fund. Furl’s platform uses agentic artificial intelligence to help security and IT teams go beyond identifying vulnerabilities and misconfigurations to automatically execute fixes in context. Unlike traditional vulnerability management workflows that generate tickets or dashboards, Furl ingests findings from tools such as Rapid7, Tenable, Qualys, Automox, Action1, and SentinelOne, evaluates real-world system context on endpoints and servers, and autonomously performs remediation with verification. The startup was founded by veterans of Rapid7, Automox, and Censys to address persistent remediation bottlenecks that leave vulnerability backlogs unresolved for months. Funding will accelerate product development, broaden operating system support, and enhance remediation capabilities. 

Who is affected

Organizations with large vulnerability backlogs and complex remediation challenges are affected, especially IT security and engineering teams seeking to reduce manual handoffs between Security and IT. Users of major vulnerability scanning and management tools may see direct impact through integrations with Furl’s agentic remediation workflows. 

Why CISOs should care

Persistent remediation gaps can prolong exposure to risk despite robust detection and prioritization capabilities. Agentic AI that executes context-aware fixes represents a significant operational shift, potentially reducing manual burden, shortening time-to-fix, and closing the execution gap that often undermines vulnerability management programs. 

3 practical actions

• Assess AI remediation fit: Evaluate Furl or similar agentic AI remediation platforms for compatibility with your existing vulnerability management ecosystem and workflows.

• Enhance integration coverage: Prioritize integrations between remediation tools and your key vulnerability scanners and endpoint security solutions to enable automated execution.

• Measure remediation outcomes: Track remediation turnaround times, backlog reduction, and remediation success rates to quantify the operational impact of agentic AI remediation adoption.