Protect AI apps from prompt injection and abuse
Impart's LLM Protection was designed to secure LLM and AI applications without sacrificing speed or functionality by utilizing a novel new detection method, Attack Embeddings Analysis, to detect prompt injection, jailbreaks, and sensitive data leakage within LLM application queries and responses.
Secure LLM applications
Analyze LLM queries for prompt injection, jailbreak, system message exfiltration attempts. Impart's token based query detection is capable of analyzing unstructured queries and identifying malicious intent.
Discover Active LLMs
Get complete visibility into your AI footprint. Automatically detect all LLM model usage across your organization, track which teams and applications are using which LLM models, and spot unauthorized deployments before they create security risks. Monitor usage patterns and costs across both commercial and open-source models.
Stop Prompt Injection
Stop prompt injection, jailbreak, sensitive data outputs, and system message exfiltration attempts. Impart automatically breaks down LLM queries into tokens and analyzes prompts at the token level to provide high accuracy detections that do not rely on brittle regex rules.
Content Safety Control
Prevent harmful or inappropriate AI outputs from reaching users. Automatically filter responses that don't align with your brand values or contain toxic content. Set custom policies for content moderation and get alerts when responses violate your standards. Protect your reputation and users while maintaining complete control over AI-generated content.