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Trust Center

Security & trust

Quaeris is built for regulated, data-sensitive enterprises. The core principle: your data stays in your warehouse, and every answer is governed and auditable.

Warehouse-native by design

Quaeris queries your data where it lives - Snowflake, BigQuery, Databricks, Redshift, or Synapse - and does not copy your warehouse data into our systems to answer questions. That means there is no second copy of your data to secure, and no egress out of your environment.

Access control at query time

Row-level security and column masking are enforced at query time against your roles, not bolted on in a dashboard layer. Each person sees only what their role permits, and every access decision is logged.

Auditability

Every question, the metric definitions used, and the access decisions made are recorded in a full audit trail - from plain-language question to warehouse result - so compliance and finance teams can trace any number back to its source.

Encryption

Data is encrypted in transit (TLS) and at rest. Credentials and connection secrets are stored encrypted and scoped to your deployment.

Compliance status

We believe in being precise about where we are. The following reflects our current status; we update it here as certifications are earned.

  • SOC 2 Type IIIn progressIndependent audit underway. Report available under NDA on request once complete.
  • GDPRSupportedData-processing terms and EU data-handling practices available for enterprise agreements.
  • HIPAAOn roadmapControls in development for regulated healthcare deployments. Not yet available as a certified offering.
  • EU AI Act readinessIn progressAudit-trail and transparency capabilities designed to support governed, explainable analytics.

Reporting a vulnerability

If you believe you've found a security issue, please email seek@quaeris.ai. We investigate all reports and will work with you on responsible disclosure.

Quaeris

Governed analytics your enterprise can trust.

Quaeris is agentic AI for analytics - a secure, governed platform where business users ask questions and AI agents return accurate, source-cited answers grounded in your semantic layer.

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