Furl Funded $10M to Automate Cyber Security Fixes

Security

Furl, a Los Angeles, CA-based, in an era where security teams are drowning in a sea of vulnerability alerts but starving for the time to fix them, a new player has emerged with a significant war chest to automate the “last mile” of defense.

Furl was funded $10 million led by Ten Eleven Ventures, with participation from Rapid7 CEO Corey Thomas, Open Opportunity Fund and other strategic angel investors.

For years, the cybersecurity industry has mastered the art of detection. Modern enterprises use a sprawling stack of scanners—Tenable, Qualys, Rapid7, and SentinelOne—to identify thousands of vulnerabilities and misconfigurations daily. However, identifying a problem is not the same as solving it.

According to recent data from the Cyentia Institute, organizations successfully remediate only one out of every ten vulnerabilities they discover. This “execution gap” creates a massive backlog that leaves companies exposed for months while Security and IT teams trade tickets back and forth.

Cybersecurity has become very good at telling teams what’s wrong, but fixing those problems is still painfully manual,” said Derek Abdine, CEO and Co-Founder of Furl. “We saw how remediation breaks down in practice. Furl applies agentic AI where it actually matters—executing fixes safely, with context—so teams can reduce risk instead of just reporting on it.

While traditional automation relies on rigid, “if-this-then-that” scripts, Furl’s agentic AI operates with a level of autonomy and reasoning previously unavailable to SOC (Security Operations Center) teams.

Unlike a simple script that might blindly push a patch and break a critical server, Furl’s agents are designed to:

  • Investigate Context: The AI probes the environment to understand the specific state of an endpoint or server before acting.
  • Reason through Fixes: It determines the safest path to remediation, accounting for dependencies and system uptime requirements.
  • Execute and Validate: After performing the fix, the agent automatically verifies that the vulnerability is gone and the system remains stable.

The funding follows a period of rapid development led by a founding team with deep roots in the security sector. Alongside Abdine—the former CTO of Censys and a veteran of Rapid7—the company was co-founded by CTO Zac Youtz, formerly of Automox, and Head of UX Alli Treman.

Their combined experience in threat intelligence and endpoint management led to the realization that the bottleneck wasn’t a lack of data, but a lack of capacity. Modern environments are simply too complex for humans to patch manually at the scale required by today’s threat landscape.

With the new $10 million injection, Furl plans to accelerate its product roadmap, specifically focusing on expanding its operating system coverage and enhancing its ability to handle multi-step, complex fixes. These are the types of remediations that usually require several stages of approval and testing, often the most common points of failure in traditional workflows.

As AI agents become more prevalent in the enterprise, Furl’s entrance marks a shift from “AI as a consultant” (telling you what to do) to “AI as a practitioner” (doing the work for you).

For a security industry that has long been reactive, the promise of autonomous, self-healing infrastructure may finally be within reach.

By: K. Tagura

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