Proof, not promises.
Before-and-after outcomes from real SOCs — with the specific metrics CISOs use to compare vendors.
Global consumer goods manufacturer
From alert noise to 200:1 — and 300% NDR in three months
Before:
Analysts triaging raw alert volume by hand; response measured in hours.
With AIDR:
Production deployment — AI investigates every alert; analysts approve response actions.
200:1
noise reduction
<5min
MTTR
300%
NDR in 3 months
Public Sector SOC
23× faster response, >99% accuracy — independently benchmarked
Before:
A 10-analyst SOC, 100% manual classification, 35-minute mean time to respond.
With AIDR:
789 alerts over 2.5 months — only 15% of incidents needed a human; the rest closed with documented reasoning.
23×
faster MTTR
>99%
classification accuracy
15%
incidents needing a human
Want results like these on your stack?
We’ll model your alert volume and MTTR in the demo.
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