AI Security & Governance
Govern the AI work already moving.
Copilots, agents, and automation can change how sensitive data, identities, vendors, and workflows interact. Start by making the use case and exposure visible—then set guardrails that fit the work.
What the work does
Move from pressure to an owned next step.
- 01
Define
Choose the use case, business objective, data, identities, vendors, and decision owner.
- 02
Assess
Review agreed workflows, evidence, and control gaps without treating assumptions as facts.
- 03
Prioritize
Sequence guardrails, ownership, and follow-up work around the actual use case.
Depending on scope
A focused engagement may produce
- Use-case inventory
- Data-flow and risk map
- Governance baseline
- Control roadmap
A useful starting point
Make the trigger and decision visible.
- A defined AI use case or decision
- An owner who can clarify workflow and data context
- A launch, policy, customer, or leadership question creating timing
Questions before scoping
Will this stop our AI rollout?
The work is designed to support an informed decision, not default to a blanket ban. The right outcome may be proceed, adjust, limit, test, or pause—based on evidence and risk tolerance.
Do we need a complete AI program first?
No. A focused use case can be a practical starting point.
Is this legal advice?
No legal conclusion is implied. Legal or regulatory requirements should be confirmed with qualified counsel; relevant obligations can be included in scope as decision inputs.
Can we send prompts or sensitive data through the form?
No. Keep the request high level. Any detailed access or transfer method must be agreed separately.
This work supports security and governance decisions; it does not provide legal advice.
Start a conversation
Bring the trigger and the decision it creates.
A short, non-sensitive description of what changed and when a decision is needed is enough.
Scope an AI governance review Do not send credentials, regulated data, incident artifacts, or sensitive technical evidence.