Data security with AI

We start with a scope conversation: users, systems, sensitive data, channels and success criteria. From there we propose a useful first release and the assumptions affecting timeline and budget.

Yes. We assess official APIs, data quality, permissions and the system of record. We prefer auditable integrations over scraping or access that would breach platform terms.

This landing focuses on your focus is protecting data (classification, exposure, response), not only securing models or hardening systems; LLM security or system hardening solves a different need. Keeping the decisions separate avoids buying the right solution for the wrong problem.

Your company does. We deliver repositories, configurations, skills and documentation in your environments. We use no proprietary licence that requires you to stay with Q2BSTUDIO.

We apply least privilege, secret isolation, traceability and integration validation. The security level (including self-hosted options) is agreed before real data is connected.

It depends on channels, integrations and governance requirements. We prefer a measurable operational pilot and then expand coverage.

Yes. We work remotely with the same review rhythm, accountable owners and documentation regardless of where your team is based.