1. Confidential Company and Client Data
This is the most critical category to protect. It includes anything that is not public knowledge, such as business strategies, internal financial reports, sales data, and upcoming marketing campaigns. Pasting a confidential document into a public AI to get
a quick summary can inadvertently leak trade secrets. Once that information is used to train a model, it can be nearly impossible to retract and may even surface in responses to other users, including competitors.
2. Proprietary Code and Intellectual Property
Developers are often tempted to use AI to debug code or generate new scripts. However, feeding proprietary source code into a public chatbot is a major risk. There have been real-world instances where employees at major tech companies accidentally leaked sensitive code and internal meeting notes by using public AI tools to work faster. This not only exposes valuable intellectual property but could also reveal security vulnerabilities in your company's software. Passwords, API keys, and other credentials should never be shared.
3. Personal Identifiable Information (PII)
This applies to both employee and customer data. Information like names, addresses, phone numbers, email addresses, and government-issued ID numbers should never be entered into a public chatbot. For example, uploading a customer list to ask the AI for analysis could lead to a serious data breach and violate privacy laws like GDPR or CCPA. Even if you think the data is anonymised, AI can sometimes infer identities from seemingly unrelated information.
4. Legal Documents and Contracts
Asking an AI to review or summarise a legal contract might seem efficient, but it's a dangerous practice. These documents often contain highly confidential terms, client details, and strategic information that are protected by non-disclosure agreements (NDAs). Uploading such a document could constitute a breach of contract, leading to legal disputes and damaging business relationships. The terms of a contract itself are often considered confidential information.
5. Sensitive HR and Health Information
Human Resources documents are another high-risk category. This includes employee performance reviews, salary details, disciplinary records, and personal health information. An employee might use a chatbot to ask about benefits related to a health condition, unintentionally disclosing protected health information. Public AI tools are not compliant with health privacy laws, and exposing this data can have severe legal and ethical consequences for your employer.
6. Internal Communications and Meeting Notes
Pasting an email thread or internal meeting notes into a chatbot to get a summary can expose candid discussions, strategic decisions, and internal disagreements. This was highlighted in an incident where notes from internal meetings were leaked via an AI tool. While it may seem harmless, this information provides a behind-the-scenes look at your company that should remain private. It could be used by competitors or become public in the event of a data leak.
