Service · Security
AI Security & Governance
Practical AI security and governance for organizations where AI is now in the workflow — built for boards, regulators, and the security teams who have to defend it.
The problem
Why this work exists.
Most enterprise AI activity is happening faster than the governance, security, and policy work needed to support it. Models are being adopted, agents are being wired into production data, and copilots are reading sensitive records — often without a policy, a control, or a signoff that an auditor would accept.
When the question comes — from a board member, a regulator, or a customer — most enterprises cannot answer it.
Why it matters
What is at stake.
AI security is not a checkbox on a vendor questionnaire. It is the difference between AI that scales across the enterprise and AI that gets shut down after the first incident, the first leak, or the first regulatory inquiry.
Boards are now asking, in writing, how AI is being controlled. The organizations that can answer credibly are the ones that get to keep moving.
How MXP helps
What we do in this engagement.
- Build an AI governance operating model fit for the enterprise
- Translate AI policy into actual technical and operational controls
- Establish an AI risk taxonomy aligned to the business and regulators
- Stand up an AI Council, model registry, and review process that actually works
- Define security guardrails for prompts, models, agents, data, and integrations
- Prepare boards and executive committees with credible AI assurance reporting
Typical deliverables
What you walk away with.
- AI governance operating model with roles, decision rights, and review cadences
- AI policy library covering acceptable use, sensitive data, agents, and vendors
- Model and use-case registry with risk classification and review workflow
- Control library mapping policy to architecture, identity, and operations
- Board and executive AI assurance reporting templates
- Implementation roadmap to operationalize governance over 6–12 months
Engagement approach
How it runs.
Most engagements run 8–12 weeks and pair with security, legal, risk, and the AI program leadership. We deliver a governance operating model, the supporting policy and control set, and a phased implementation plan that the organization can run.
We write for executives and regulators, not for compliance shelves.
Ready to make this real?
Most enterprises start with a focused diagnostic engagement. We'll show you the gaps and the path.