Customer-owned source material
Source documents and derived training assets are treated as customer data. Product behavior is built around ownership boundaries, not implied shared use.
Trust & Platform Security
Scormy One is designed to handle source materials responsibly across storage, access, and processing architecture. Security posture is shaped around customer data boundaries, backend enforcement, and source-grounded generation.
Model
Source-grounded training engine, not an unconstrained content generator.
Boundary
Workspace-scoped data handling with explicit ownership and access context.
Enforcement
Security assumptions rely on backend controls, not frontend-only gating.
Scormy One is built with a security-minded architecture direction for teams handling operational and internal documentation.
Source documents and derived training assets are treated as customer data. Product behavior is built around ownership boundaries, not implied shared use.
Access should be scoped to the minimum required identity, role, and workspace context. Permissions are designed to be explicit and narrow.
Security is approached through layered controls across authentication, authorization, storage paths, processing flows, and operational checks.
Platform decisions prioritize predictable trust boundaries, controlled state transitions, and backend policy enforcement over convenience shortcuts.
Users, workspaces, APIs, storage systems, and processing services are treated as distinct boundaries with explicit contracts.
Security is part of system design and review, not a post-launch add-on. Product and infrastructure decisions are expected to reflect this baseline.
Uploaded source materials, extracted knowledge, and generated artifacts are intended to move through controlled processing and storage paths. Data flows should be explicit, bounded, and scoped to authorized workspace context.
Scormy One is designed to use source content to produce grounded outputs, not to treat customer materials as open public corpora.
High-level flow
Access decisions are expected to map to workspace membership, role context, and authenticated API identity.
Separation between data ownership, access rights, and commercial boundaries should be enforced in backend systems rather than relying on client state.
API access is designed to require authenticated and authorized requests, with explicit scope checks for sensitive operations.
Multi-tenant boundaries are treated as core trust limits across ingestion, generation, and artifact lifecycle operations.
Scormy One is built around transforming customer-provided source material into structured training outputs. It is not intended to generate unconstrained narrative content detached from operational evidence.
The generation model is designed with a practical rule: duration is a constraint, not a content source. If source support is thin, the safer behavior is compression, explicit gaps, or reviewer-requested expansion types instead of unsupported padding.
This source-bounded approach reduces classes of quality and trust risks commonly seen in generic AI generation workflows.
Operator note
Generated outputs should be reviewed and approved by domain owners before operational rollout, compliance use, or external distribution.
Security-relevant actions and workflow states are intended to remain reviewable.
Structured pipelines are preferred over opaque, one-shot transformations.
Human approval remains a key safeguard before export or operational use.
Changes to source-derived knowledge should follow explicit transformation boundaries.
Platform health and security signals are expected to be monitored for anomaly detection.
Security-impacting changes should move through controlled engineering review.
If you identify a potential security issue or need security-related support, contact our team with reproducible details. We review reports and prioritize responsible handling.
Short answers to common evaluation questions.
Scormy One is designed for source-grounded transformation of your workspace materials into structured training outputs. Customer content is not treated as open public training data.
Access is intended to be workspace-scoped and authorization-driven, with role and membership context determining allowed actions.
No. UI controls can improve clarity, but trust depends on backend enforcement of authentication, authorization, and data boundaries.
Outputs are designed to be source-grounded, but human review remains necessary before operational publication, export, or compliance-critical use.