This startup provides an authentication software platform that secures AI applications by enforcing role-based access control (RBAC) and guardrails. It protects enterprises from data leakage, abuse, and malicious responses from chatbots, enabling secure orchestration for fine-tuning AI models.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises face significant risks when deploying large language models (LLMs), including data leakage, abuse from malicious prompts, and unauthorized access to sensitive information. Securing retrieval-augmented generation (RAG) applications and fine-tuning processes adds further complexity to AI governance and control.
Solution
LangSafe provides an authentication, authorization, and auditing framework designed to secure AI applications. Their AI proxy enables enterprises to enforce role-based access control (RBAC), implement guardrails to prevent misuse, and maintain comprehensive audit trails of LLM interactions. By acting as an LLM firewall, LangSafe protects against data leakage and malicious responses, ensuring secure orchestration for fine-tuning AI models and building RAG applications. The platform integrates with existing AI stacks, providing a seamless layer of security and governance.
Target Audience
LangSafe targets enterprises deploying LLMs and RAG applications who require robust security, governance, and control over their AI infrastructure.
Features
- AI proxy for enforcing RBAC and guardrails on LLM applications
- LLM firewall to prevent data leakage and malicious responses
- Authentication, authorization, and auditing framework for LLMs
- Secure orchestration for fine-tuning AI models
- Integration with existing AI infrastructure