Treat instructions as untrusted input
Emails, web pages, uploaded files and customer messages can contain malicious instructions. An AI agent should not treat them as authority to reveal secrets, change permissions or run arbitrary operations. Keep the model's proposed action separate from trusted application code.
Use least privilege
Connect only the accounts and data needed for the task. Prefer scoped API credentials, server-side secret storage and role-based access. Never put privileged tokens into browser JavaScript, a public repository or a prompt. Rotate keys and revoke access when a project ends.
Require approval for high-impact actions
Sending money, deleting records, changing bookings, publishing content and messaging customers can create real harm. Use explicit review gates, transaction IDs, rate limits and logs. Make every write idempotent where possible so retries do not create duplicate charges or notifications.
Plan for incidents and ownership
Specify retention, backups, vendor access, breach response and an off switch. Your business should control its domains, code repositories and service accounts. FOURAK's build process can document these controls and provide a maintainable handoff, but security also requires ongoing operational discipline.
A practical next step
Choose one process, document its inputs and approvals, and measure a baseline before connecting AI. If you're evaluating custom AI workflows or autonomous agents for an Alaska business, FOURAK can help define a secure, maintainable first phase.
Discuss an AI workflow with FOURAK →