MAKE THE NEXT LIFE COUNT.[ YOUR DIGITAL FUTURE / OWN IT ]
INTELLIGENCE NEEDS RESPONSIBILITY.
An AI feature with access to customer communications or private documents is an application-security project, not just a design element. The safest path begins with identifying who should access which information and what the system is allowed to do.
DISCUSS A CLIENT-OWNED BUILD ↗
We design for defense in depth: no credentials in browser code, authenticated workflows, permission checks at the data source, bounded operations and human oversight for consequential tasks. This reduces risk; it does not eliminate it.
Use server-side provider calls, approved data sources and least-privilege access. Retrieve only documents a user is permitted to see. Treat prompts and retrieved text as untrusted input and test for injection and unintended disclosure.
Separate answer generation from real actions such as changing a booking, issuing a refund or sending a binding commitment. Validate structured outputs, require explicit approvals and log who authorized consequential changes.
Document model choices, regional/legal obligations, data transfers, logging, storage and revocation. Evaluate provider changes with known test cases and review usage bills and security incidents under a defined response procedure.
Classify data, users and sensitive decisions
Define an access matrix and provider/secret management policy
Red-team common prompt, access and workflow abuse cases
Document ongoing monitoring, approvals and incident ownership
No. Private branding or a login screen alone do not prove data isolation, provider safety or correct authorization.
Possibly, but meaningful external actions need scoped permissions, approval logic, and tests against bad inputs or accidental duplication.
No. Service architecture, configuration, organization practice and law-specific requirements all matter. Specialist legal/security review may be needed.