Security & Trust

Enterprise Security & Responsible AI Architecture

RevenueOS processes sensitive commercial, prospect, and conversation data. Security, privacy, and controlled automation are engineered into every layer of our platform.

Tenant Isolation

Strict logical tenant isolation across data stores, vector indexes, agent states, and CRM integrations. Your account intelligence is never commingled or used to train public models.

Data Encryption

AES-256 encryption at rest and TLS 1.3 encryption in transit for all network communication, database storage, and API credential management.

Controlled AI Guardrails

Autonomous execution operates strictly within customer-defined policies: human review requirements, daily sending caps, channel locks, and messaging compliance boundaries.

Responsible AI Principles

Revenue intelligence involves probabilistic estimations based on available market indicators. RevenueOS explicitly presents all predictions as model-based estimates accompanied by supporting empirical evidence.

Evidence-Backed Scoring: Scores include explicit signal breakdowns.
Human-in-the-Loop Control: High-stakes actions require human approval.
Audit Trails: Full event logs for every agent decision and CRM mutation.