AI security readiness is not about having the most sophisticated controls, it is about having answers to the right questions. The following 12 questions form the minimum set that every CISO should be able to answer before signing off on a production AI deployment. If you cannot answer more than eight of them today, you have identifiable gaps that need to be addressed before your next audit or incident.
What Are the Visibility and Inventory Questions?
The first four questions are about knowing what you have: Do you have a complete inventory of every AI model, tool, and agent running in your environment? Do you know which data classification levels each AI deployment has access to? Can you list every external API endpoint your AI systems call? And can you account for every MCP tool registered in your environment today? If any of these answers is 'no,' you have a visibility gap that makes every other security control unreliable.
What Are the Policy and Governance Questions?
The next four questions address governance: Do you have a written AI acceptable use policy that has been reviewed by legal and communicated to employees? Do you have a data sensitivity classification policy that specifies which data types can be sent to external AI providers? Do you have an incident response playbook for AI-specific incidents (prompt injection, data exfiltration via AI, model compromise)? And do you have an AI vendor security review process for approving new AI tools?
What Are the Technical Controls Questions?
The final four questions cover technical enforcement: Are all AI API calls proxied through a gateway that provides audit logging? Do you have prompt injection detection active on all external-facing AI interfaces? Is PII detection and redaction applied before data leaves your perimeter to external AI providers? And do you have a continuous testing process, red team or automated, that validates your AI security controls are working as intended?
- Complete AI inventory: every model, tool, agent, and MCP server in your environment
- Data classification mapping: which AI deployments touch which sensitivity levels
- Written, communicated AI acceptable use policy reviewed by legal
- AI-specific incident response playbook covering injection, exfiltration, and compromise
- All AI API calls proxied with audit logging, injection detection, and PII redaction
QuilrAI
How QuilrAI addresses this: QuilrAI's Guardian setup wizard walks through each of these 12 questions as part of the governance assessment phase, automatically generating policy documents, configuring technical controls, and producing an audit-ready governance report that addresses every item on the checklist.