Security
Most AI security is a promise about filtering. SweetHive's is a property of the data model: content that was never visible to you can never reach your AI, because scope is decided at write time, not query time.
There is no separate filter to misconfigure. What a person (or their agent) can retrieve is exactly what their groups can see, from their level of the context tree down. Guarantees that follow from the model, not from policy:
Every message, file and note enters a context addressed to groups. Visibility is set when content is created, never cleaned up afterwards and never inferred at query time.
Every AI answer is traceable to the exact items it was allowed to read. You can show, for any response, why each source was in scope.
Agents inherit the context they're installed in and see only what its groups see. Nothing crosses the tree without an explicit share.
Scope isn't only a software boundary. Organizations with private nodes can pin sensitive processing and agents to their own hardware, so scoped work runs inside the institution and data never leaves. Heavy, non-sensitive workloads burst to a distributed network for elasticity and cost. An orchestrator routes every workload by sensitivity, latency and cost; you set the policy per agent.
Sensitive, context-bound work is pinned to the institution's own machines. Scope is enforced down to the hardware; data residency stays under your control.
Anonymous heavy compute (indexing, transcription, large-scale processing) bursts to the network. Unit cost falls as capacity grows.
Per agent: automatic (orchestrator decides), private only, or public allowed. The default keeps sensitive work at home.
The blocker for AI in museums, schools and regulated businesses is always the same question: where does the data go? SweetHive's answer is structural, which is why it can be deployed where assistants bolted onto flat channels cannot.
SweetHive runs on AWS in the eu-west-1 region (Ireland). Data at rest lives in the EU, with automated backups and point-in-time recovery.
Traffic is encrypted in transit and data is encrypted at rest. Payments run on Stripe; card data never touches our servers.
With SweetHive Agents Node and Agents Server, AI models can run on your own hardware: prompts and data stay inside your perimeter during inference.
Account data and content are kept for as long as the account exists. If you delete your account, personal data is deleted or anonymized within technical backup cycles.
Access, rectification, erasure and portability are described in the privacy policy. Data protection officer: dpo@sweethive.com.
Every agent answer is attributable to the items it was allowed to read, publishing always requires explicit human confirmation, and AI output is always labeled.
Found a security issue, or need details these pages don't cover? Write to us and we'll route it to the right person.
One question, three personas, three correctly-scoped answers from the same hive, each traceable to exactly what it was allowed to read.
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