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Agentic AI Sprawl Control Blueprint
by Kelly Mattarocci, CPA, MBA · AI
Summary
A blueprint designed for executives and risk leaders to detect hidden agents, map system access, and establish guardrails that enable safe, compliant AI at scale. It delivers a governance framework and actionable guidance to prevent unauthorized connections, protect regulated data, and enable confident AI adoption.
Primary Outcome
Contain hidden AI agents across teams and establish a governance‑ready operating model that protects data and regulated workflows.
Who This Is For
- CIOs/CTOs in regulated industries seeking governance for AI deployments
- Risk and compliance leaders responsible for data privacy in AI-driven processes
- Head of AI security in large enterprises implementing guardrails and containment strategies
What You'll Learn
- Shadow agent detection
- Access mapping and controls
- 30-day containment plan
Metadata
- Category
- AI
- Creator
- Kelly Mattarocci, CPA, MBA
- Creator Title
- Certified Microsoft Copilot Administrator | Executive Advisor | CPA | AI Strategist | Governance & Risk Management | Developer | Founder of The Executive Agents & Market & Margin
- Tags
- AI Strategy
- Published
- 2026-03-15
- Last Updated
- 2026-03-15
Citation
"Agentic AI Sprawl Control Blueprint" by Kelly Mattarocci, CPA, MBA, PlaybookHub — https://playbooks.rohansingh.io/playbook/agentic-ai-sprawl-control-blueprint