Prompt Security addresses the growing enterprise concern that AI applications introduce novel attack surfaces that traditional security tools cannot detect. The platform operates as a security layer between users and LLM-powered applications, inspecting both inputs for prompt injection and adversarial manipulation attempts and outputs for sensitive data leakage, toxic content, and policy violations. This bidirectional inspection runs in real-time without adding significant latency to the AI interaction.
The deployment model provides flexibility for different integration scenarios. Organizations can deploy Prompt Security as a network proxy that intercepts all LLM API traffic transparently, as an SDK integrated directly into application code for fine-grained control, or as a browser extension that monitors AI tool usage across the organization. Security policies are customizable per application, user group, or data sensitivity level, enabling nuanced controls that balance security with usability.
Enterprise features include comprehensive audit logging of all AI interactions for compliance documentation, automated detection and redaction of personally identifiable information before it reaches LLM providers, custom classifier training for organization-specific sensitive data patterns, and integration with SIEM platforms for centralized security monitoring. The platform targets organizations in regulated industries where the risk of data leakage through AI applications creates compliance liability.
