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Pillar 1

Secure AI Where Your Data Lives — Under Your Control

Protean enables you to bring AI to your data, not the other way around — ensuring security, sovereignty, and compliance without slowing innovation.

Why This Matters

In today’s competitive landscape, your data isn’t just an asset — it’s your advantage. Handing it over to third-party AI services can expose you to compliance risks, intellectual property leakage, and operational dependencies you can’t control.

Protean enables you to bring AI to your data, not the other way around — ensuring security, sovereignty, and compliance without slowing innovation.

Your Environment, Your Rules

Run Protean in any environment that fits your security and compliance requirements:

On-Premises: Fully contained within your own infrastructure — no external transfers, no unwanted exposure.
Protean is designed with enterprise-grade security controls at its core.
Auditing

Track every access, action, and model interaction with end-to-end, exportable trails.

Encryption

Protect data in transit and at rest with modern cryptographic standards.

Compliance Enabler

Meet strict regulations (GDPR, HIPAA, ISO, SOC2) with auditable logs and reports.

Access Control (RBAC)

Apply fine-grained, role-based permissions to safeguard models and data.

Move Fast — Without the Risk

With Protean, you get:

Sovereign AI

complete control over data, models, and runtime

No vendor lock-in

run models your way, with your choice of infrastructure

Faster approvals

security and compliance teams can greenlight projects sooner

Code Less and Create More Magic with AI

Dream it up, bring it to life.

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Sovereign AI

Secure AI Where Your Data Lives — Under Your Control

Bring AI to your data—not the other way around. Run on-prem, inside VPCs, or air-gapped with auditing, encryption, RBAC, and compliance tooling so security can say “yes” sooner.

All three are supported. Keep workloads fully contained within your network perimeter, with no external transfers or third-party data exposure.

Models train and serve inside your infra. Network egress can be disabled; storage, logs, and metrics remain local and under your policies.

TLS in transit, AES-grade at rest, and support for BYOK/HSM. Keys are managed by you, aligning with internal security standards.

Fine-grained RBAC with SSO integration. Grant least-privilege access to datasets, models, runs, and APIs; everything is permission-scoped.

End-to-end logs for access, training, and inference. Exportable event trails support security reviews and incident forensics.

Controls align with GDPR, HIPAA, ISO, SOC2, and similar standards. Auditable configurations help compliance and legal teams approve faster.

Run behind your firewalls with explicit allow-lists. Disable outbound traffic entirely for air-gapped deployments.

You own the models, data, and runtime. Deploy on your choice of infrastructure with open APIs and exportable artifacts.

Standardized controls (RBAC, encryption, audit logs) and deployment inside your perimeter reduce risk and shorten review cycles.

Complete request and model-run traceability, immutable logs, and exportable evidence support post-incident analysis without data leaving your org.

Offline or controlled updates via signed artifacts and change logs. You choose maintenance windows and retention policies.

Yes—compute and storage stay where you place them, with policies that keep datasets, models, and logs within required regions.

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