One chokepoint.
Every attacker. Every time.
No matter how attackers evolve their tactics, ransomware must ultimately encrypt files — and that's the one chokepoint Quell controls, stopping every known and unknown variant before it causes real damage.
Ransomware breaches continue to grow and will accelerate with AI.
The attack surface is widening faster than prevention tools can keep up. Containment isn't optional anymore.
59%
Companies targeted by ransomware in 2025
+149%
increase in ransomware attacks year over year
Using Quell Couldn't Be Easier
Built for IT teams with limited time and resources. Deploy in under an hour, manage in minutes a month.
Ransomware Detections
When Quell identifies potential ransomware activity, it creates a Detection that captures exactly what happened and where.
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Reduce False Positives with Monitor Mode
Quell's Monitor Mode lets you see exactly which processes would trigger containment — without any business disruption.
Review detections at your own pace, mark trusted applications, then confidently switch to Active Mode where threats are automatically contained in real-time.
Enabling Active Mode
Once you've identified false positives, switch to Active Mode. Any process that is encrypting will activate Quell and will be instantly contained.
IT is notified immediately. Trust or Block the process globally across your entire organization in one click.
Test with a Mock Attack
Once Quell is configured, run a mock attack to confirm all settings are working — without any real file encryption.
Simulates all real-world events including endpoint ransomware alerts and email notifications so your team knows exactly what to expect.
Machine-speed containment.
Designed to run invisibly alongside your existing tools — zero disruption, maximum protection.
1%
CPU utilization — imperceptible to users and applications
~200MB
Memory utilization (RAM) — low footprint, enterprise-grade performance
~20MB
Via endpoint management tool for Windows 11 — deploys in under an hour
25ms
25 microseconds — essentially imperceptible to users and applications
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