MSP
Availability, support, infrastructure, and IT service delivery.
Why MAISSP
AI is becoming infrastructure. Its governance must become operational.
Enterprise AI crosses the boundaries of security, data, privacy, legal, procurement, technology, and business ownership. MAISSP is an emerging managed-services category for that shared environment.
The category thesis
Enterprise adoption is embedding AI everywhere.
AI now appears in productivity suites, SaaS platforms, internal applications, APIs, models, and agentic workflows. This diffusion creates a cross-functional risk that no single team or point-in-time review can sustainably manage.
MSSP
Security monitoring, controls, response, and security program support.
MAISSP
AI visibility, decision processes, risk, access, vendors, controls, and continuous governance.
The managed gap
Many organizations have policies, security tools, vendor processes, or responsible AI principles. The gap is often operational: maintaining a current inventory, routing reviews, documenting decisions, assigning action, tracking exceptions, and adapting as the environment changes.
A MAISSP helps internal leaders design and operate those processes. It is a professional and managed service—not a software platform and not a substitute for accountable enterprise decisions.
Why AI is different
- Behavior can be probabilistic and context-sensitive.
- Data moves through prompts, retrieval, models, tools, and outputs.
- Capabilities and vendor terms change rapidly.
- Embedded features can expand use without a conventional deployment.
- Agents combine inference with access and action.
- Business value and risk are tightly coupled to the use case.
Start with clarity
Make AI governance an operating capability.
Start with a clear view of current use, ownership, exposure, and priorities.