Xenolith Data — Where Deep Data Surfaces

Discipline built on public data

Analyst-led controls, strict claims boundaries, and discipline built on public, non-attributional data. Trust is a design requirement, not an afterthought.

Analyst Oversight icon

Analyst Oversight

  • Human review
  • Pattern-based anomaly detection
  • Discipline over automation
Secure Architecture icon

Secure Architecture

  • SOC 2 controls
  • FedRAMP alignment
  • Encrypted delivery
No Surveillance icon

No Surveillance

  • No PII
  • No individual tracking
  • Population-level only
Clear Claims Boundary icon

Clear Claims Boundary

  • Risk conditions, not predictions
  • Non-attributional data
  • Transparent methodology

How we hold the line

Analyst-led

Human analysts review patterns and anomalies. Automation informs, it never decides on its own.

Secure by design

SOC 2 controls and FedRAMP alignment govern how data is stored, processed and delivered.

No surveillance

No PII. No individual tracking. Xenolith operates strictly at the population and geographic level.

Clear claims boundary

We report risk conditions from public data — not predictions, not attribution, not speculation.

Review our methodology

Request a sample set to see exactly how our risk conditions are constructed.