Data boundaries
Define sources, destinations, approved models and retention rules for each workflow.
Security, privacy and governance
Control, privacy and accountability for enterprise AI operations.
Ultma is designed so organisations can define where data may go, what each Agent may access, which actions require approval and how every execution is reviewed.
Least-privilege access
Give each Agent only the systems, tools and data needed for its assigned role.
Human approval
Require review before high-impact, irreversible or sensitive actions are completed.
Audit and traceability
Review workflow version, model and tool activity, approvals, outcomes and exceptions by verified scope.
Provider transparency
Document which external providers may process data and where relevant processing may occur.
Evaluation and change control
Test intended behaviour and operational quality before deployment and after material changes.
Evidence-first trust pack
Enterprise assurance should be inspectable.
Security statements should match the product, deployment architecture, customer contract and available evidence.
Security & Data Handling Overview
Control scope, architecture choices and ownership.
Architecture and data-flow diagram
Inputs, stores, model calls, connectors, logs and processing countries.
DPA and provider disclosure
Role allocation, subprocessors, model providers and processing locations.
Evaluation and deployment evidence
Risk assessment, test summary, authorisation and operating runbook.
Evidence before claims
No certification or residency claim should run ahead of proof.
Australian data residency, zero retention, no-training, SOC 2, ISO 27001, Essential Eight compliance and uptime claims are not made on this preview. Publish only verified scope and precise contractual wording.