Security & trust

AI for business needs control.

Optimus products are being designed around permissions, data protection, auditability, and human oversight for sensitive workflows.

Discuss your requirements
Design principles

Trust is a system, not a badge.

We communicate the controls we are designing toward without claiming certifications or capabilities that have not been verified.

01

Least privilege

Agents should access only the context and actions required for an approved workflow.

02

Human oversight

Consequential actions stay open to review and approval, especially in early product stages.

03

Data minimization

Collect and retain only what a workflow needs, with retention designed to be configurable.

04

Traceability

Make it possible to distinguish source data, calculations, AI interpretation, and approved action.

05

Tenant isolation

Architect customer data and permissions around clear organizational boundaries.

06

Responsible AI

Use deterministic calculations where precision matters and constrain AI to appropriate tasks.

Finance trust pattern

Separate calculation from interpretation.

For consequential financial outputs, the authoritative numbers should come from verified data and deterministic code — not from a language model.

01Source data
02Calculation
03AI interpretation
04Human approval
05Action
Honest by default

Security claims should be earned and verified.

Optimus does not claim SOC 2, ISO 27001, HIPAA, PCI, private-VPC deployment, or zero data retention unless and until each statement is factually established.

As products move from prototypes to live workflows, controls will be documented against the actual architecture, customer requirements, and independent verification.