AI Security
Real-Time Prompt Protection: Securing AI Integrations at Scale
As organizations embed Generative AI into customer-facing applications and internal workflows, the risk of "data leakage by design" grows. Every API call to an LLM—whether processing a customer support ticket, summarizing a contract, or generating code—carries the potential to inadvertently transmit sensitive PII, credentials, or intellectual property to third-party providers.
Mage Data’s Real-Time Prompt Protection provides a high-speed security layer for these AI-driven integrations. By delivering sub-100 millisecond inspection and transformation, we neutralize sensitive data within the application flow before it reaches the model. This ensures your AI integrations remain secure, compliant, and fully functional, allowing your applications to leverage the power of LLMs without the liability of data exposure.
Key Capabilities
Real-Time Prompt Protection Overview
High-Speed Low-Latency Inspection
Secure your application’s AI calls without impacting performance. Our engine provides sub-100ms inspection and transformation of outbound prompts using edge-optimized processing. This ensures that even high-frequency automated workflows remain secure without adding perceptible delay to the end-user experience.
Streaming Data Analysis
Enable real-time security for dynamic data flows. By analyzing data packets as they are prepared for the LLM, Mage Data ensures that classification and protection decisions are made instantly. This allows your application to handle complex, multi-variable prompts with zero lag in security enforcement.
Context-Aware Sensitive Detection
Go beyond simple pattern matching. Our engine uses context-aware detection to recognize sensitive data based on its relationship to surrounding text—identifying that a specific reference indicates PHI or that an alphanumeric string is an internal API key—ensuring high-precision protection for complex datasets.
Intelligent Data Transformation
Protect your data while preserving model performance. Apply the most effective protection for each scenario—whether it's redaction, tokenization, or substitution. This ensures the AI receives the structural context it needs to generate accurate results, while actual sensitive values never leave your secure perimeter.
Automated Response Restoration
Maintain a seamless user experience in your application. Mage Data automatically restores tokenized references in the AI’s response before it is displayed to the user. This ensures that while the LLM never sees real sensitive data, the end-user receives natural, fully readable, and accurate output.
Ready to Get Started?
See Real-Time Prompt Protection in action with a personalized demo.