What Is
Generative AI Security?
Generative AI security is a security framework that manages risks arising when employees use AI services like ChatGPT, Claude, Gemini, and Copilot — including data leakage, Shadow AI, personal data exposure, and source code leakage.
4 Security Threats Created by Generative AI
Key threats that enterprise security teams must address.
When employees input customer data, source code, or internal documents into ChatGPT or Claude, that data is transmitted to the AI service.
Employees using unsanctioned AI services expose data to services that haven't been security-vetted by IT.
Without knowing which AI services are used and how often, measuring and responding to risk becomes impossible.
When personal data is entered into AI services, it creates compliance violation risks under GDPR, PIPA, and other frameworks.
4 Steps to Build Enterprise Generative AI Security
A step-by-step approach for security teams to systematically control generative AI usage.
First identify which AI services are used within the organization, by whom — including Shadow AI.
Establish policies by data category defining what must not be entered into AI tools.
Deploy endpoint-based AI DLP to detect sensitive data in prompts, files, and clipboard in real time.
Record all AI usage history and policy violations to meet audit and compliance requirements.