Misses you can explain
After a miss, the first question is what kind it was: an alert never raised, an alert buried in the queue, or a feed that had gone quiet. Each needs a different fix, and you can only choose it if the record shows which one happened.
A quieter queue can hide the next attack.
Tools that cut alert volume rarely say what they cut. The queue gets shorter, and nobody can tell what went missing.
When the CISO asks why an attack was missed, “the tool filtered it” is not an answer you can take into the meeting.
Our software shows its work.
Your analysts make the call.
ARRTECH builds security software on one rule: software can do more of the work, but people keep the authority.
Every finding and every case carries its evidence, and a feed that stops sending is reported, never read as safe. Our AI investigates, and it cannot approve its own work.
Test it on your own telemetry before you trust it.
A proof of value scores detection on labeled replay scenarios and at least one representative week of your telemetry.
The scorecard is agreed before it begins, and the test runs beside the tools your team already uses.
Shift
Why is the queue longer than the shift?
ARRTECH SIEM classifies every vendor’s events into common types and suppresses duplicate alerts within a time frame. When a Cyberdroid AI Detection detector floods, a cap routes its overflow to shadow instead of your queue.
Can we trust what reaches the queue?
AI Detection proves each of its 21 ML detectors on your data before any of them raises an alert. A proof of value scores it on labeled replay scenarios and at least one representative week of your telemetry, against a scorecard agreed first.
Was it quiet, or did a feed stop sending?
ARRTECH SIEM alerts when a source goes silent. AI Detection reports telemetry health beside every finding, so you can tell a quiet week from a gap in the data.
What did the night shift know?
Cyberdroid AI Investigation, in early access, writes each case with its verdict, confidence, rationale, evidence references and next steps. It records disagreement instead of dropping it and parks an incomplete case instead of concluding it. It requires AI Detection.
Where is this month’s report for the CISO?
ARRTECH SIEM dashboards count cases by severity, owner, state and SLA overrun, and ARRTECH SOAR includes an SLA dashboard. Reports run on a schedule and arrive by email as PDF.
Who closed this, and why?
A person on your team. AI Detection never blocks or changes anything, and AI Investigation cannot approve its own work. An ARRTECH SOAR Operator node emails a person up to five color-coded options and waits. The history shows who chose which option and when.
