GPT AI Data Security

Data security is the foundational prerequisite for the value of GPT applications. Enterprises must establish end-to-end protection across the "input-processing-output" workflow through measures such as data isolation, access control, and audit trails.

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GPT Data Security Risks

Employees using GPT-based tools face significant risks of data leakage. According to a report, approximately 25% of employees may upload sensitive data—such as company business plans, customer information, and product designs—into such AI tools.

Sensitive Data Input

Employees may unintentionally enter sensitive information into GPT tools, leading to potential data storage or exposure.

Data Storage and Retention

Some GPT tools may retain user input for model improvement, increasing the risk of data leakage.

Third-Party Access

APIs or integrations may allow third parties to access GPT tools, further expanding the risk of data exposure.

Internal Threats

Employees may misuse GPT tools—intentionally or unintentionally—resulting in the leakage of sensitive information.

Model Training Data Leakage

The GPT model may inadvertently reveal sensitive information from its training data, raising privacy concerns.

Output Data Leakage

GPT-generated outputs may contain sensitive content, which, if not properly handled, could be exposed.

GPT Screenshot

Prohibit GPT tools from performing automatic screenshots on sensitive business systems or system pages.

Browser API Control

Enforce fine-grained control over browser APIs to prevent GPT browser plugins from freely invoking interfaces and accessing web application page data.