LangProtect is a specialized AI-native security and governance platform designed to protect LLM and Generative AI applications from modern AI-specific threats such as prompt injection, jailbreak attempts, sensitive data leakage, and unsafe or non-compliant outputs. Built for production GenAI systems, LangProtect enforces real-time, runtime controls at the AI execution layer—inspecting prompts, model responses, and tool interactions as they happen. This allows organizations to block high-risk behavior before it reaches end users, downstream systems, or confidential data sources. LangProtect integrates seamlessly into existing LLM stacks through an API-first approach, supporting cloud, hybrid, and on-prem deployments to meet enterprise security and data residency needs. Designed for modern architectures including RAG pipelines and agentic workflows, LangProtect helps teams scale GenAI confidently with continuous visibility, policy-driven enforcement, and audit-ready governance.
Key Features:
Real-time inspection and prevention of prompt injection, jailbreaks, and unsafe instruction patterns
Sensitive data leakage protection (PII/PHI/credentials/IP) across prompts, context, and outputs
Runtime policy enforcement for LLM responses, structured outputs, and tool/function calls
Security controls for RAG and agent workflows to reduce data exposure and misuse risk
API-first integration with minimal latency; supports cloud, hybrid, and on-prem deployments
Use Cases:
Securing AI chatbots, copilots, and internal GenAI tools from exploitation and data leakage
Enabling safe LLM deployment in regulated industries like healthcare, finance, and enterprise SaaS
Controlling agent/tool behavior to prevent over-permissioned actions and unsafe execution
Enforcing governance and compliance policies across development, staging, and production GenAI systems
