- IP & data leakage – the AI Governance policy engine classifies every field automatically via the Zetaris semantic layer, detecting PII without manual tagging, and can redact sensitive data before it reaches a cloud model.
- Data residency – the private on-prem Llama-based LLM means sensitive workloads never leave the building; the same binary runs air-gapped.
- Shadow AI -admins define which model handles which classification of request; developers and users no longer choose the model – policy does.
- Auditability -every model call generates an audit record (policy applied, model used, data classification, prompt hash), CSV-exportable, with a Test Console to validate before go-live.
- Seven ready policy templates – HIPAA/PCI, Air-Gapped, Sovereign, Balanced, and more — give compliance teams a starting point rather than a blank page.
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How does PIES Studio address enterprise AI concerns point by point?
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