Generative AI Security Challenges Rise: Why Organizations Need Advanced Data Loss Prevention
Generative AI platforms like ChatGPT, Gemini, Copilot, and Claude are transforming the workplace, boosting productivity across industries. However, they also introduce new data security risks as sensitive information can easily be shared through chat prompts, uploaded documents, or browser plugins. Traditional Data Loss Prevention (DLP) tools often fail to detect these events, leaving organizations vulnerable.
To address this, solutions like Fidelis Network® Detection and Response (NDR) provide network-based data loss prevention designed for Generative AI environments. Unlike traditional endpoint scanning tools, Fidelis NDR continuously monitors network traffic, even if it’s encrypted, ensuring better visibility and security.
How Organizations Can Monitor Generative AI Safely
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Real-Time URL Alerts
Administrators can configure alerts when employees access GenAI platforms like ChatGPT. This enables instant detection of potential data leaks and supports forensic analysis. -
Metadata-Only Monitoring
For low-risk environments, Fidelis NDR can log AI usage data — including timestamps, devices, and destinations — without triggering constant alerts, reducing operational noise. -
File Upload Monitoring
The platform detects when sensitive files are uploaded to AI tools, allowing security teams to block unauthorized data transfers in real time.
Building Strong AI Data Protection
Effective GenAI security requires continuous monitoring, updated policies, and user education. By combining real-time alerts, metadata logging, and file upload inspection, organizations can embrace AI innovation while keeping sensitive data secure.
Key takeaway: With Fidelis NDR, companies can adopt Generative AI confidently, balancing productivity, compliance, and security in today’s rapidly evolving AI-driven workplace.
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