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Furl is an “execution layer” for enterprise cybersecurity that goes beyond reports and dashboards to actually remediate vulnerabilities and incidents. It uses AI agents to automate remediation work, reduce security task backlogs, and close the gap between “found a problem” and “fixed it.”
Instead of only generating alerts and tickets, Furl takes on routine, repeatable security tasks. This helps SecOps teams spend less time on manual follow-ups and reduces the number of stalled tickets, making it easier to close critical vulnerabilities faster.
Furl targets common process bottlenecks by reducing manual approvals, endless reprioritization, and “ticket limbo.” AI agents operate under defined policies and playbooks to move incidents from detected to resolved with more predictable speed and quality.
Furl is designed for large organizations where alert volume and remediation demand exceed what teams can handle manually. It supports a shift from passive monitoring to active, automated risk reduction.