Prompt Guard is a runtime security solution designed to protect Large Language Model (LLM) applications from prompt injection attacks, jailbreaks, and malicious inputs. The product operates as a runtime layer that intercepts and analyzes LLM requests before they execute. The solution detects multiple types of injection attacks including direct prompt injections, indirect injections from external sources, multimodal injections embedded in images or audio, and code injection attempts. It maintains a database of over 100 types of injection patterns and uses multi-layered analysis to identify threats. Prompt Guard includes session memory capabilities to track user prompt history and identify multi-turn attack patterns that unfold across multiple interactions. The system supports dynamic blocking of malicious actors based on IP address, user agent, or request fingerprint. Detection capabilities extend across multiple languages including English, Spanish, and over 10 other languages. The product is part of NeuralTrust's Generative Application Firewall (GAF) and offers customizable security policies that can be configured by model, application, or user group. It features an open plugin architecture allowing organizations to extend functionality or build custom detection layers. Deployment options include cloud, on-premises, or hybrid configurations. The system provides execution times under 10 milliseconds and integrates with various LLM providers, SIEM platforms, and authentication systems.