Personally Identifiable Information (PII)
This is the most critical category to protect. Personally Identifiable Information is any data that can be used to identify a specific individual. Think of things like your Aadhaar number, PAN, driver's license, or passport details. Never input this information
into a public AI tool. The same rule applies to the PII of clients or colleagues. Sharing names, email addresses, phone numbers, or home addresses might seem harmless when asking the AI to draft a communication, but it creates a permanent record that could be exposed in a data breach, leading to risks of identity theft and fraud. The golden rule is simple: if the information is unique to a person and sensitive, keep it out of the chatbot.
Confidential Company and Client Data
Every organisation has information that gives it a competitive edge. This proprietary data includes things like trade secrets, unreleased financial results, business plans, supplier lists, and strategic marketing documents. Inputting this information into a chatbot for a summary or analysis is equivalent to handing it over. Many AI models use user inputs to train their systems, meaning your company's confidential strategies could inadvertently become part of the model's knowledge base. Similarly, any information related to your clients—their business data, contracts, or project details—is confidential. Exposing this data not only breaks client trust but can also lead to serious legal and compliance violations.
Internal Communications and Meeting Notes
It can be tempting to paste a long email thread or a transcript of a video meeting into a chatbot and ask for a summary of action items. However, these internal discussions often contain sensitive context. They might reveal details about internal challenges, employee performance issues, upcoming layoffs, or disagreements on strategy. While this information might not be a formal trade secret, its exposure can create internal conflict and reputational damage. Some AI tools for meetings require you to inform all participants that AI is being used to record or transcribe the session. Without clear company policy and consent, using AI to process these conversations is a major risk.
Proprietary Code and Technical Information
For developers and engineers, AI can be a powerful coding assistant. But pasting chunks of proprietary source code into a public chatbot is a significant intellectual property risk. This code is often the core asset of a technology company. If it's absorbed into an AI's training data, it could potentially be reproduced for other users, effectively leaking your company's valuable intellectual property. Even troubleshooting technical issues requires caution; avoid sharing server credentials, API keys, or detailed information about your company’s IT infrastructure. These details can provide a roadmap for malicious actors looking to exploit system vulnerabilities.
Employee and HR Information
Human Resources data is one of the most sensitive categories within any company. This includes employee salaries, performance reviews, disciplinary actions, and medical information. This information is protected by privacy expectations and, in many cases, regulations. Using a chatbot to analyse payroll data, draft a performance improvement plan, or ask questions about an employee's personal situation creates an unacceptable risk. Leaks of this nature can destroy employee trust and expose the company to legal action. Always handle HR-related matters through secure, company-approved channels, not public AI tools.
