TenantSage™ is the Governance-First RAG architecture that makes AI legally defensible — embedding Identity Scoping, Role Hierarchies, and Legal Holds directly into the database engine.
Enterprises are rushing to adopt Generative AI, but face a critical blockade. Standard RAG systems are designed for retrieval speed — not legal safety.
An AI summarising a "Global Policy" might accidentally surface a confidential "Local HR Issue" to the wrong staff member. Standard RAG denormalises permissions — creating invisible data exposure at query time.
AI models cannot naturally understand Legal Holds. They will happily summarise a lawsuit document that should be frozen — creating liability via hallucination that standard architectures cannot prevent.
The Market Gap: Enterprises need AI that is not just smart, but legally defensible. Bolting security onto the application layer is too late. The governance must live inside the retrieval engine itself.
TenantSage inverts the standard model. Instead of bolting security onto the application layer after retrieval, we embed strict governance directly into the database engine — before any prompt is ever constructed.
The result is an AI system architected to prevent protected data leakage at the retrieval layer — by design, not by policy.
TenantSage treats the AI as an untrusted entity. If a document is expired, on legal hold, or outside a user's strict role — the system renders it structurally invisible to the AI at the retrieval layer before the prompt is ever constructed.
Our defensible moat is not software — it is a Method. Competitors can build RAG and they can build Permissions. TenantSage forces them to exist as a single, indivisible atomic unit.
Our license forbids "decoupling" governance from retrieval. This creates a permanent architectural dependency — binding customers to our standard and ensuring long-term IP retention across every deployment.
Semantic relevance evaluated in the same operation as governance — never before, never after.
Parent-source inheritance means role access cascades from the schema itself, not application code.
Time-Travel Prevention ensures expired documents are structurally excluded — zero exception path.
Legal Quarantine logic operates at the retrieval layer, making compliance an architectural property.
Precedence rules are resolved in-engine. No post-retrieval patching. No workaround surface area.
We are not selling a $10/month SaaS login. We are licensing a Control Pattern to System Integrators and Enterprises — at the infrastructure layer.
We license the Canonical SQL Schema and Governance-as-Code artifacts. Enterprises and SIs avoid 6+ months of high-risk R&D and inherit a production-validated and architecturally reviewed foundation.
We offer a governance standard designed for auditor and insurer evaluation. The "TenantSage" mark signals that an AI system enforces Legal Holds and Time-Travel Prevention at the architecture layer — reducing enterprise liability exposure.
Our license structurally forbids decoupling governance from retrieval. This binds customers to our standard — creating a natural renewal and dependency cycle with every deployment at scale.
TenantSage is not a roadmap. It is a production-ready governance standard with an executed IP strategy and a structurally engineered solution to the enterprise AI blind spot.
Full Governance-as-Code artifacts are audited and production-ready. The canonical schema has been validated against enterprise-scale retrieval workloads.
Trademark Filed · Authorship Recorded
IP strategy executed via Statement of Authorship and formal Trademark filing for the "Real-Time Inheritance Retrieval Path™" brand — defensible by filing record pending full registration.
Legal Quarantine logic is engineered to render holds, role violations, and expired documents structurally invisible at the retrieval layer — not by policy, but by architectural constraint.
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