Security & Reliability

Last updated: January 28, 2026

Trust

Aitomates designs AI automation with security and reliability as first principles. This page outlines our high-level approach to keeping workflows controlled, auditable, and dependable.

Security mindset

• Least-privilege access: Roles and permissions are scoped to the task.
• Data minimization: We process only what is required for the workflow.
• Traceability: Decisions and automation steps are logged and documented.
• Human oversight: Critical steps can require explicit approval.

Azure practices (high level)

• Secure integrations: We use appropriate secure connections and encryption.
• Secrets management: Keys and credentials are handled through managed controls.
• Environment separation: Development and production are isolated when needed.

Development and quality controls

• Peer review: Changes are reviewed before release.
• Testing: Automation is validated prior to production.
• Change management: Releases are staged and documented.

Monitoring and recovery

• Logging and alerts: Key events are tracked and monitored.
• Incident response: We agree on response steps with each customer.
• Recovery planning: Critical workflows have defined recovery approaches.

Compliance posture

We support GDPR-aware implementations and document data handling. We do not claim certifications without customer-specific verification.

Working with customers

We align on access, data ownership, logging, and approval practices early in the engagement so responsibilities stay clear throughout delivery.

Security inquiries

Security inquiries: simo@aitomates.fi.

Next step

Want to review security and responsibilities in your workflow? Book a free consultation.