Fewer alerts, each one explained
Sigma-style rule sets are honest about it: false positives are the most common complaint, and the usual fix is a spreadsheet of noisy rule titles to untick by hand. Managed services trade the noise for opacity. Neither tells the analyst, at the moment of triage, why a hit is probably benign.
How KIROSEC answers it
One finding per behaviour
Repeated alerts for the same rule and subject roll up into one row, so a password spray is one finding, not four hundred. The individual alerts stay one click away as evidence.
Routine logons are context, not alerts
A successful logon matters when it follows a brute force or belongs to an account in a finding. KIROSEC keeps those and counts the rest instead of listing them; the events stay searchable in the timeline.
False-positive guidance on every alert
Every rule in the pack carries written guidance on when it fires on benign activity and how to tell the difference. KIROSEC shows it on the alert itself — before you escalate, not after.
Incidents ranked, with the reason
Related alerts group into incident candidates with a 0–100 risk score and the factors behind it, so the worst thing in the case is at the top and you can see why.
A false positive costs you once
Mark an alert as a false positive and KIROSEC offers to stop alerting on that pattern — scoped to what the evidence actually shares (this account, this address), to one case, to one client's cases or to all of them, with a required reason and a review date. Suppressed alerts are recorded, not deleted, and each suppression shows how much it matched, so the decision can be reviewed.
Rules that keep misfiring get fixed, not re-tuned
KIROSEC counts how each rule's alerts were triaged across every case. A rule that is mostly false positives is flagged as noisy — the signal to fix the rule itself rather than suppress it client by client.
Where it stops
- Detection keeps routine successful logons only where they connect to a finding; the rest are counted, not listed. If you need every logon, search the timeline for them.
- Detection is rule-based. A rule that is too broad for your environment still needs tuning — KIROSEC makes that quick and auditable, not unnecessary.
Detections that apply
Browse the full detection libraryQuestions
- Does KIROSEC use AI to decide what is a false positive?
- No. Severity and detection come from versioned rules. AI features, where enabled, only explain evidence in plain language; they never decide an incident or close an alert.
- Can I see why a rule fired?
- Yes. Every alert links to the exact events that triggered it, the rule version, the ATT&CK technique and the rule's own false-positive guidance.
Related problems
See it on your own logs
Bring an incident your current tools struggle with. We will show you how KIROSEC handles it, on your machine, with nothing leaving it.