Managed AI / Secure AI
Managed AI — also called secure AI — is a governed approach to adopting artificial intelligence within an organization. Instead of leaving staff to use unmanaged public AI services (the Shadow AI problem), the firm deploys approved AI tools wrapped in data protection controls, access policies, audit logging, and human oversight. It is the difference between AI used by the firm and AI used at the firm without anyone in control of it.
What Makes AI “Managed”
- Data controls — the AI platform does not retain firm data or use it to train external models; sensitive information stays inside the firm’s boundary.
- Access and identity — AI access is tied to firm identity, with conditional access and role-based permissions.
- Audit logging — AI interactions are logged, so the firm can answer what was used, by whom, and with what data.
- Governance and policy — a written acceptable-use policy defines what AI may and may not be used for, with oversight from firm leadership.
Why Managed AI Matters for Investment & Professional Firms
For DFW registered investment advisers, law firms, and accounting firms, AI adoption is not optional — staff are already using it — but ungoverned adoption collides directly with confidentiality and recordkeeping obligations. Managed AI lets a regulated firm capture the productivity of AI while keeping client data protected, access controlled, and activity auditable. DKBinnovative deploys Hatz.AI as its secure AI platform for investment and professional firms in Plano, Frisco, Irving, and Las Colinas — giving regulated firms a governed AI capability built for their compliance profile, rather than leaving employees on unmanaged public tools.