Data security is not a premium feature.
It is the foundation.
STRATIS is built from the ground up as a security-first platform. Every deployment includes the full security model. We do not ask customers to pay extra to protect their own sensitive design intelligence.
Security Is Default
Every deployment includes tenant isolation, encryption, access control, audit logging, classification tagging, and segmented retrieval. These are not paid add-ons.
Zero-Trust Knowledge Access
No user, service, or AI system is implicitly trusted. Every request is evaluated against identity, role, tenant, classification level, and access policy before any result is returned.
Data Segmentation From Day One
Every persisted object carries a tenant identifier, segment identifier, classification level, ownership metadata, and access policy reference. Segmentation applies to documents, graph relationships, embeddings, and audit records.
Relationships May Be Sensitive
STRATIS treats graph edges, semantic similarity scores, inferred relationships, and metadata associations as governed intelligence — not just the documents themselves.
AI Must Respect Governance Boundaries
Authorization checks, classification validation, and policy evaluation happen before any AI retrieval, summarization, or recommendation is produced. AI reasoning is a governed operation.
Inferences Are Governed Intelligence
Embeddings, AI-generated summaries, similarity scores, and reasoning outputs are subject to the same access controls as the source data they are derived from.
Tenant Isolation
Multi-tenant architecture with strictly tenant-scoped data, search, graph relationships, and audit logs.
Role-Based Access Control
Granular RBAC enforced at document retrieval, relationship traversal, workflow actions, and AI context assembly.
Classification Tagging
Documents and relationships carry classification levels. Retrieval is filtered against the requestor's authorization level before results are returned.
Audit Logging
Tamper-evident audit events for every meaningful operation — foundation for compliance reporting and forensic investigation.
Encryption
Data encrypted at rest and in transit across all deployment models.
Segmented Retrieval
Search indexes, vector embeddings, and graph traversal are scoped to segment boundaries with no cross-segment leakage.
Policy Enforcement Service
A dedicated policy layer evaluates every retrieval and reasoning request before any result is produced.
Portable Deployment
SaaS, private cloud, and on-premises via configuration — no security trade-offs for deployment model choice.
Air-Gap Readiness
Architecture designed to support future classified and air-gapped environments. No design decisions foreclose regulated deployment.
Every request passes through the same pipeline.
No step can be bypassed — not by a user, not by a service, and not by an AI reasoning workflow. Policy enforcement is a first-class architectural requirement, not a wrapper added after the fact.
User request received
Tenant resolved
Policy evaluation
Retrieval scope generated
Filtered semantic retrieval
Graph relationship filtering
Context assembly
AI reasoning
Response filtering
Audit event generated
Questions about security?
Reach out to discuss deployment models, compliance requirements, or specific security controls.
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