GREAT BAY--As artificial intelligence becomes part of everyday life, cybersecurity researchers are warning about a growing but often overlooked danger: people sharing confidential information with AI applications without fully understanding where that information goes, how it is stored or who may have access to it.
From employees uploading company documents into ChatGPT to individuals seeking advice about medical conditions, finances or personal relationships, the growing reliance on AI assistants is creating new privacy and security concerns.
A 2026 report by cybersecurity company Check Point Research found that the proportion of workplace AI prompts classified as high-risk for sensitive data exposure increased from approximately 2% to 4% between October 2025 and May 2026.
The findings mean that, by the end of the period, roughly one in every 25 AI interactions examined contained information that could present a significant risk of data exposure.
The research also found that between 87% and 93% of organizations monitored experienced at least one high-risk AI interaction each month.
These figures do not mean that the information was necessarily stolen or publicly exposed. Rather, they show how frequently sensitive material is being submitted to external AI services.
The concern is not limited to hackers or deliberate misconduct. Researchers say much of the exposure occurs during ordinary activities when people use AI to work faster.
An employee might upload a confidential contract to request a summary. A business owner could enter customer information to draft personalized messages. A teacher might submit student records to prepare assessments, while someone seeking medical advice could provide extensive personal health information.
Although these activities may seem harmless, the information entered into an AI application may be processed or retained by an external technology provider, depending on the service, account settings and applicable privacy protections.
In some circumstances, employees may also be sharing information that belongs to their employers, clients or customers without authorization.
Check Point identified business services, telecommunications, government and financial services among sectors where sensitive information appeared in AI interactions.
One common misconception is that conversations with AI assistants are necessarily private in the same way as information stored on a personal device.
In reality, privacy protections vary significantly between platforms. Some services offer enterprise-level security, controls over data retention and restrictions on using customer information for model training. Others may have different arrangements.
The United Kingdom's National Cyber Security Centre has previously cautioned users against entering sensitive information into publicly available AI systems without understanding the provider's data-handling policies.
The risks can extend beyond individual privacy. Confidential business strategies, financial records, internal correspondence, passwords and unpublished documents could expose organizations to commercial, legal and reputational consequences if mishandled.
For St. Maarten, the findings are relevant to businesses, government departments, schools, healthcare providers and individuals increasingly incorporating AI into their daily activities.
Organizations that use AI for administrative work, document preparation, financial analysis or customer service may benefit from establishing clear guidelines governing what employees are permitted to upload.
Cybersecurity guidance recommends avoiding the submission of passwords, identification numbers, confidential contracts, medical records and other sensitive information into unapproved AI tools.
Users should also review privacy settings, remove identifying information where possible and ensure they have permission before uploading documents containing another person's data.
AI offers opportunities to improve productivity and simplify routine tasks, but experts emphasize that these benefits must be accompanied by appropriate safeguards.
The central message is that information shared with an AI system should be treated as information being provided to an external service, not automatically as a private conversation.
