Teams that stopped drowning in alerts.
See how cloud security teams have reduced false positives, reclaimed analyst time, and closed incidents faster.
Farova Systems reduced its mean time to detect by 68% in three months.
Farova Systems provides enterprise data management software to regulated industries. Their cloud SOC team of four was spending an average of 2.3 hours per analyst per shift triaging alerts that turned out to be scheduled jobs, provisioning events, and dev environment noise.
After deploying Cloakmint, their alert queue dropped from an average of 340 raw alerts per day to 18 incident threads requiring analyst attention. MTTD (mean time to detect) fell from 4.1 hours to 1.3 hours on confirmed incidents.
"The reasoning log was the deciding factor for our compliance team. Every auto-close decision has a documented paper trail. We got our SOC2 auditors comfortable in the first review."
Quilta Financial deployed Cloakmint across three cloud accounts in one afternoon.
Quilta Financial is a fintech building payments infrastructure on AWS. They had accumulated three separate AWS accounts, each with its own GuardDuty and Security Hub setup, generating overlapping and often duplicate alerts to a shared Slack channel.
Their security lead, Priyanka Subramaniam, set up Cloakmint by connecting all three accounts through the native AWS Security Hub integration in a single afternoon. Multi-account correlation meant Quilta's team started seeing incident threads that spanned account boundaries, a class of attack they had previously missed entirely.
"We had three AWS accounts producing independent alert streams. Cloakmint was the first tool that stitched them together into a coherent view. Setup genuinely was under an hour."
What teams say
"Before Cloakmint, our weekly threat review meeting spent 40 minutes going through false positives before we even got to real issues. That time is gone."
"The cross-account correlation was genuinely new. We'd seen tools that handle one account well. Stitching three together with no configuration overhead? That's different."
"We were skeptical of AI-based triage because we couldn't see the reasoning. The structured log that explains every auto-close decision turned that concern into a feature, not a risk."
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