Alert fatigue
Analysts see fewer alerts, each with its evidence.
How ARRTECH reduces alert volume
A smaller queue helps when analysts can still see what was grouped, filtered or held for testing. Correlation in a SIEM reduces repeated review, shadow testing in AI Detection checks new detectors, and useful context makes each remaining alert easier to assess.
Duplicate alerts
Several devices can report the same activity. Correlation in a SIEM brings those events into one review while preserving the records behind it, so analysts spend less time reopening the same question.
Alert caps
Per-rule limits in AI Detection help prevent one repeated condition from taking over the queue. Set them alongside review of the events being filtered, so lower volume does not hide a coverage problem.
Shadow mode
Shadow mode in AI Detection lets a detector run on representative activity without adding to the production queue. Review its useful findings, false positives and volume before deciding whether it is ready.
Flood control
Configurable delivery limits in AI Detection keep bursts of findings from overwhelming analysts. AI Detection overflow can remain available in shadow for review and tuning, with changes to production use recorded.
Context
Each AI Detection finding shows what was observed against its baseline, the evidence in time order and a score that ranks it in the queue.
Investigation
AI Investigation can gather the events and prepare a case with its assessment, evidence and open questions. The analyst starts with context already assembled and retains responsibility for the conclusion.
By scenario
Same port scan from three firewalls
Group the related firewall events into one SIEM alert, with all three source records available to the reviewer.
New detector fires hundreds of times an hour
Keep excess output available for review outside the main queue. Examine the cause before changing thresholds or production status.
Allowed admin sign-in at an odd hour
The analyst sees what changed and closes it with a reason.
Log source goes quiet
A SIEM source-health alert tells the team that collection needs attention. An empty queue should not be mistaken for an absence of activity.
Night shift has more findings than analysts
Prepared cases from AI Investigation can give the next shift evidence and unresolved questions to work from. The handover should show which cases still need a decision.
Questions
Will this cut false positives by a set percentage?
Measure the improvement on your own telemetry. Useful findings, missed activity and review time give a more meaningful result than a universal reduction percentage.
What is a shadow detector?
A detector whose findings go to a separate channel while its precision is measured. Each promotion is on record.
How is an alert closed?
An analyst records the assessment and the evidence supporting closure. Unresolved questions and the person making the decision remain visible in the case.
Is AI Investigation available now?
AI Investigation is in early access. The product cards below distinguish it from AI Detection, which is available to select organizations.
Guide
What is alert fatigue?
When a SOC receives more alerts than analysts can investigate, so real threats wait behind noise.
What is a false positive?
A result that incorrectly identifies benign activity as the condition or threat the detector is intended to find.
What is a benign true positive?
A correct alert on activity that turns out to be allowed.
How ARRTECH takes care of alert fatigue
Connects security activity into a signed record, giving incident decisions and board reporting evidence that can be independently verified.
Protects intellectual property and customer trust, with content-aware controls that let organizations adopt AI on their own terms.
Expands response capacity through automation, with defined human authority and a record of who approved what.
Finds changes in behavior that predefined rules miss, connecting the signs of an attack so teams can understand what warrants action.
Investigates alerts, tests explanations and prepares the evidence, giving analysts more capacity while people retain authority over the response.
