Our approach
Tyon.ai builds custom AI assistants for businesses that need secure, measurable implementation — not generic public-model experiments. Security and data handling are part of every 30-Day AI Automation Sprint, not an afterthought.
Deployment options
- Managed cloud: hosted environments with encrypted storage options
- Private cloud / VPC: deployments inside your network boundaries
- On-premise: when data residency requirements prohibit public SaaS processing
Access and controls
- Role-based access for users and agent actions
- Human approval gates for sensitive steps (send email, update CRM, etc.)
- Action logs and audit trails for agent activity
- Customer-controlled model and API keys where applicable
Data handling in projects
During implementations we process client documents, credentials, and system data only as needed to deliver the agreed workflow. Data sources, retention, subprocessors, and deletion are documented in project agreements. We do not use client production data to train public models unless explicitly agreed.
What we do not claim
Tyon is not a compliance certification provider. We do not represent that any deployment meets SOC 2, HIPAA, GDPR, or other frameworks by default. We design implementations to support your internal security, privacy, and audit requirements and can align with your compliance program as scoped in the engagement.
Incident response
Clients with active support or partner agreements receive coordinated response for security issues affecting Tyon-delivered components. Contact contact@tyon.ai for urgent matters.
Questions
Security review before a sprint? Book a discovery call or email contact@tyon.ai.
Last updated: June 2026