Data centers & hyperscalers

Where patrols are repetitive, anomalies are loud.

Tier III/IV data centers run highly repetitive patrol patterns. Anomaly detection thrives on that signal — when something is different, the model has high confidence.

SOC 2 in progress · ISO 27001 on roadmap · Per-site model isolation

The challenge

Audit reviewers want explanations, not 'AI said'

SOC 2 / ISO 27001 reviewers reject 'the AI flagged it' as evidence. They want contributing factors and comparable past cases.

False positives kill operator trust

Once the SOC team starts ignoring AI alerts, the value evaporates. Tunable thresholds + per-factor breakdown keep precision high.

Multi-site rollouts need governed AI

100+ facilities means 100+ models. Customer-managed keys, per-site isolation, and centralized audit log are non-negotiable.

How AI patrol fits

High-signal anomaly detection

Repetitive patrol patterns = clean baselines. After 4 weeks of training, anomaly precision typically exceeds 85% on data center sites.

Audit-ready AI explanations

Every flagged event ships with contributing factors and 3-5 comparable past cases. SOC 2 reviewers get a finite document, not a 'trust us' statement.

Per-site model isolation

Each facility gets its own model. No cross-site signal contamination. Customer-managed keys on Complete plan.

Native Splunk + Sentinel for AI events

AI alerts forwarded to your SIEM with full reasoning chain. Correlate with system events from your existing SOC pipeline.

Compliance covered

  • SOC 2 Type II in progress (Q3 2026)
  • ISO 27001 on roadmap (Q4 2026)
  • GDPR Article 22 by design
  • EU data residency (Complete)

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