Security and Responsible AI

Trust areas

Secure software development practices
Role-based access control for users and modules
Audit logs for important actions
Data privacy and minimum necessary access thinking
Backup and disaster recovery planning
Responsible AI implementation with clear boundaries
Human review for sensitive AI outputs
Compliance-ready architecture support without certification claims

Important note

i-360 does not claim HIPAA certification on this website. Healthcare-related language is limited to HIPAA-aware and compliance-ready implementation support where appropriate.

Discuss safeguards

Control Decisions

Questions every implementation should answer

Which users, roles, services, and administrators may access each data set or action?
Which changes, approvals, exports, failures, and AI tool calls require an audit record?
What happens when validation fails, retrieval confidence is low, or an AI output needs qualified human review?
Who owns secrets, backups, restore verification, incident response, retention, and production changes?

These controls must be adapted to the application, data, hosting environment, and the client’s legal and organizational obligations.