Before you hand sensitive business data to an AI skill, you need to understand how that data is handled, stored, and protected. Here is the non-negotiable checklist.
When an AI skill handles your customer inquiries, it is processing customer data. When it manages your lead pipeline, it has access to prospect information. When it processes your invoices, it sees your financial data. Security and privacy are not secondary considerations in AI implementation — they are primary ones.
Start here. Before evaluating any AI skill implementation, create a complete inventory of the data the system will access, process, or store. Customer names, emails, and contact information. Financial records. Health information (if applicable). Proprietary business information.
Once you know what data the system touches, you can evaluate how it needs to be protected.
Where is data stored? Is it stored on servers you control, the vendor's servers, or third-party cloud infrastructure? In what jurisdiction? Data sovereignty matters — especially for healthcare data covered by HIPAA, financial data covered by various regulatory frameworks, and EU customer data covered by GDPR.
Is your data used to train the AI? Some AI systems improve by training on user data. This may or may not be acceptable depending on the sensitivity of your data and your customer obligations. Get a clear, written answer.
How is data encrypted in transit and at rest? The answer should be AES-256 encryption at rest and TLS 1.3 in transit. Anything less is a red flag.
What are the breach notification obligations? If there is a data breach, how quickly will you be notified? What remediation will the vendor provide?
AI skills should operate with the minimum data access necessary to do their job. A customer service AI does not need access to your payroll data. A scheduling AI does not need access to financial records. Principle of least privilege applies to AI systems just as it applies to human employees.
If you operate in healthcare, you need HIPAA-compliant AI implementation. Financial services has its own regulatory requirements. If you have European customers, GDPR applies. Make sure any AI skill implementation is designed with your specific compliance obligations in mind from the start.
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