Encryption: TLS 1.2 or higher in transit; AES-256 at rest for the database and customer document storage, with keys held in a managed key-management service.
Tenant isolation: per-organization data partitioning enforced at the row level by the database itself, alongside application-level scoping; per-organization Knowledge stores. On Enterprise there are two ways to deploy: a single-tenant deployment operated by Zentrr, with Customer’s data in Zentrr’s AWS; or BYOC, in Customer’s own AWS account.
Access control: role-based access (Workspace Admin, Team Lead, Member) backed by a managed identity service with MFA support; least-privilege access controls on the cloud infrastructure; production access restricted to authorized personnel.
Network & infrastructure: private networking, with no direct access from the public internet, for the database and the web application’s servers; managed AWS services (HIPAA-eligible); a web application firewall at the edge; storage and application processing in the United States, with model-call region pinning available as a per-workspace setting (see § 09).
Logging & monitoring: audit logging of administrative API calls on the cloud infrastructure; application-level tamper-evident audit trail of chats, citations, and approvals, in which a chat turn is recorded as a digest of its content rather than its text; email an Agent sends with its email and calendar tools, and email an app sends, is recorded with its recipient count, the recipients’ domains and a digest of its subject and body, not the addresses or the text; what Zentrr support staff open through a support window Customer grants is recorded, naming the window; alerting on anomalous activity.
AI-specific measures: inference confined to AWS Bedrock, with no Customer Content sent to a third-party AI provider by default — the one exception is a small set of models AWS Bedrock serves only under provider data sharing, which are off unless a workspace administrator opts a specific Agent into one, an action recorded in the workspace audit log; no training of any model on Customer Content; platform content-safety screening on every turn — violence, hate, sexual content, insults, and misconduct filters, in both directions — plus prompt-injection screening of input from anyone who is not an authenticated member of the Customer’s workspace, with social security and payment card numbers blocked in both directions; human sign-off required in Approvals before Agent actions with external effect.
Resilience & lifecycle: multi-AZ database, encrypted backups on a standard rotation cycle, documented incident response, vendor (Sub-processor) review, and personnel confidentiality and training per § 04.