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5,000

Mobile logins monitored per minute

As published on h2o.ai. Checked by usedby on Oct 17, 2026.

What happened

Capital One's operations team uses H2O Sparkling Water and H2O-3 to forecast normal mobile app login volume and flag anomalies in real time. The models replaced fixed thresholds and alert the incident response team when traffic deviates from the forecast.

Summary written by usedby from the source page, in English. The figures are those of H2O.ai and Capital One, not ours.

  • 20,000“a spike of more than 20,000 unexpected logins at 11:15pm triggered an anomaly alert”

In one case, a spike of more than 20,000 unexpected logins at 11:15pm triggered an anomaly alert that reached the incident response team at 11:17pm, four minutes before any other alarm.

From the page. h2o.ai

This was a huge win for our customers, and for the teams who are responding to these types of incidents

Donald Gennetten, data engineer at Capital One. Source

What the story claims, and what we checked

What we compared with the page.

  • The figure: 5,000CheckedThe figure is on the page; its label is our wording.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Capital One.
  • The numbers in our summaryCheckedEach one is printed on the page.
  • Capital One uses H2O.aiCheckedConfirmed line.
  • The result itselfNot checkedWe quote it; we did not measure it.

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