AI Data Handling Rules for Leaders

Why Data Rules Come Before Everything Else

Every other element of AI governance — approved tools, review requirements, escalation paths — depends on the foundation of clear data handling rules. Without knowing what information can and cannot go into an AI tool, staff have no basis for making correct decisions about how to use AI responsibly. And without consistent rules, individual judgment varies widely, which means your data security posture varies widely too.

For leadership teams, data handling rules are especially important because the information that flows through leadership workflows is typically among the most sensitive in the organization. The categories below should be treated as prohibited inputs in any public or cloud-based AI tool unless your organization has obtained specific approval for a tool’s handling of that data type.

Information That Should Not Go Into AI Tools

Personnel and HR data. Employee names, performance records, compensation details, disciplinary matters, medical information, and any other individually identifiable employee information should not be submitted to AI tools. This applies whether the AI is being used to draft a communication, summarize a document, or assist with a decision involving the employee.

Confidential financial information. Unpublished revenue figures, budget details, forecasts, investor information, and any financial data classified as confidential under your organization’s policies should not be processed through AI tools. The risk is both data security and inadvertent disclosure — AI tools can surface confidential figures in unexpected ways when they appear in the context of a prompt.

Client and customer data. Client names, contact information, contract details, account specifics, and any information shared in confidence by a client are prohibited inputs. Many organizations have contractual or regulatory obligations around client data that make AI submission a potential breach, not just a security risk.

Legal and compliance documents. Documents under legal review, contracts in negotiation, regulatory filings, and correspondence with legal counsel should not be processed through AI tools. The accuracy requirements for these documents are high, and the consequences of errors introduced by AI are potentially severe.

Credentials and access information. System passwords, API keys, authentication tokens, network access credentials, and any other security credentials should never appear in AI prompts under any circumstances.

The Placeholder Approach

When the structure of a task requires describing a sensitive situation, use generic placeholders rather than the actual sensitive details. Describe the scenario type, the role involved, or the general category of information rather than the specific content. Complete the sensitive details offline, in your secure environment, after the AI has produced the structural output you need.

This approach allows you to use AI for the legitimate efficiency gains it offers — structuring, drafting, organizing — while keeping sensitive content out of the tool entirely. It’s a practical standard that works across virtually every leadership use case.