AI Governance Risk Snapshot
Is Shadow AI Creating Unmanaged Risk in Your Business?
- Sensitive company or customer data can leave approved systems
- AI-enabled vendors introduce unseen data flows
- Employees are adopting tools faster than policies and controls
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Ungated
The AI Governance Quick-Start Checklist
These ten steps are a practical starting point for getting AI use under control in a company without a full security team. They are not a replacement for legal, security, or compliance advice.
01Assign an AI governance owner
Name one person responsible for maintaining the inventory, policy, review process, and follow-up actions.
02Inventory AI tools and embedded AI features
Include standalone tools, browser extensions, copilots, and AI features inside existing vendor platforms.
03Document approved AI use cases
Record which teams may use each tool, for what purpose, and under what restrictions.
04Define prohibited data
Clearly state whether customer data, credentials, health information, financial data, source code, contracts, and internal strategy may enter AI systems.
05Review model-training and retention settings
Determine whether prompts or uploaded data are retained, reused for training, or shared with subprocessors.
06Review vendor AI capabilities
Add AI-specific questions to vendor onboarding, security reviews, renewals, and contract negotiations.
07Publish a practical AI usage policy
Keep it short enough that employees can understand and use it during everyday work.
08Train employees with realistic examples
Explain acceptable and prohibited use using situations employees actually encounter.
09Create an AI incident-reporting path
Give employees a clear way to report accidental data sharing, unsafe outputs, unauthorized tools, or vendor incidents.
10Review the program quarterly
Revisit the inventory, policy, vendor list, employee access, incidents, and regulatory changes at least every quarter.