Speed is the only thing that matters now.
The window between vulnerability disclosure and working exploit used to be measured in weeks. Today it's roughly ten hours. By 2028 it's projected to be one minute. The remediation side of security has to operate on the same clock as the attack side — and it doesn't.
Furl is built to close that gap.
Attackers run on AI time. Most defenders still run on ticket time.
Every advance in AI compresses the attacker's timeline and expands the volume of vulnerabilities they can exploit. A single model run recently surfaced more than a thousand zero-days across major operating systems and browsers. The pace of disclosure isn't slowing — it's accelerating, and the working-exploit window is collapsing alongside it.Meanwhile, the average MTTR for a high-severity finding is still over sixty days. That isn't a process problem. It's a tooling problem. The remediation stack — scan, ticket, route, wait — was designed for an era when you could afford weeks. You can't anymore.
Speed isn't a feeling. It's a number you can read off a dashboard.
The remediation industry has been claiming to be fast for years. The claim rarely survives contact with a real backlog. Furl reports speed in measurements you can verify against your own environment:
Time from disclosure to first action.
When a CVE is published, how long before Furl is investigating it across your fleet? In most cases: minutes, not days.
Time from finding to closure.
Once a vulnerability is identified on an endpoint, how long before it's actually fixed? Furl's median across thousands of executions is materially faster than industry-standard MTTR — and the data is in your dashboard, not a marketing slide.
Time from late-breaking CVE to authored fix.
When something drops outside vendor coverage, how long before you have a working check and strategy? With the Forge, you don't wait for a vendor. You author and ship.
Why Furl can actually move this fast
Continuous, not periodic.
Most vulnerability tools operate on a scan cycle. Furl operates continuously. The graph of your environment is always current. Findings get deduplicated and routed the moment they appear. There is no batch window, no weekly run, no waiting for the next scheduled job.
Independent of vendor roadmaps.
When a vendor is slow to release a check or a patch, every tool downstream of them is slow. The Forge removes that dependency. Furl can author its own detection logic and remediation strategies inside your environment, so the speed of your response isn't capped by anyone else's release cycle.
Built to act, not just alert.
Speed in detection without speed in remediation produces a faster backlog, not a faster fix. Furl was built around execution from day one, which is why the time-to-fix metrics look different from tools that were built around finding.
Fast and safe aren't in tension. They're the same problem.
Every security team has been told that speed comes at the cost of stability. CrowdStrike taught the industry what happens when you move fast without context. The lesson got internalized as: slow down.
That's the wrong takeaway. The right takeaway is: speed without context is dangerous. Speed with context is a product.
Furl's graph is what makes fast execution safe. The platform knows what's business-critical, what depends on what, and what's already mitigating a finding before it acts. Confidence thresholds, scopes, validation, and rollback are how the speed gets bounded — not blunted.
The time your team is currently losing to the backlog.
Security and IT teams spend an enormous amount of their week on the mechanics of remediation: triaging duplicates, chasing owners, negotiating patch windows, writing one-off scripts, validating that fixes actually landed. Furl handles the volume. Your team handles the exceptions.