Employees can introduce AI services outside formal technology projects. Sensitive business, customer, financial, HR, legal or intellectual-property information may then enter tools the organization has not reviewed or approved.
Start with visibility and operating decisions before selecting security products.
1. Discover AI use
Inventory approved AI platforms, browser and SaaS use, embedded AI features, and agents or connectors that reach company data. Separate legitimate business demand from unmanaged exposure.
2. Give employees approved alternatives
Give employees an approved path for legitimate productivity needs: clear policy, suitable platforms, defined use cases and rules for information they may enter.
3. Review employee data access
AI search and summaries can expose existing permission problems across SharePoint, OneDrive, Google Drive, CRM and file shares. Data readiness and information protection belong in the AI security program.
4. Strengthen identity controls
Copilots and agents act through user, application and service identities. Least privilege, privileged access, service-account governance, conditional access and lifecycle management remain essential as AI retrieves data and takes action.
5. Monitor and respond
Logging, escalation and response procedures should cover AI events: sensitive data in unapproved services, unexpected agent actions, connector exposures and generated outputs causing customer or operational issues.
6. Connect policy and controls
Employees need guidance on approved tools, sensitive data, verification and reporting mistakes. Security controls should reinforce the policy.
Questions for leaders
- Do we know which AI services employees are using?
- Have we defined approved platforms and sensitive-data rules?
- Are file and application permissions ready for AI-powered discovery?
- Can we govern agent and service identities?
- Could we investigate an AI-related incident today?
For most mid-market organizations, start with visibility, identity, data protection, approved platforms and employee behaviour. Evaluate specialist AI security products against remaining gaps.