SecGPT is an open-source security framework designed to protect large language model applications. It provides pre-built modules and customizable rule definitions to detect prompt injections, simulate adversarial attacks, enforce compliance policies, and validate outputs within your LLM pipelines.
SecGPT is an open-source security framework designed to protect large language model applications. It provides pre-built modules and customizable rule definitions to detect prompt injections, simulate adversarial attacks, enforce compliance policies, and validate outputs within your LLM pipelines.
SecGPT wraps LLM calls with layered security controls and automated testing. Developers define security profiles in YAML, integrate the library into their Python pipelines, and leverage modules for prompt injection detection, data leakage prevention, adversarial threat simulation, and compliance monitoring. SecGPT generates detailed reports on violations, supports alerting via webhooks, and seamlessly integrates with popular tools like LangChain and LlamaIndex to ensure safe and compliant AI deployments.
Who will use SecGPT?
AI developers
Security engineers
DevSecOps teams
Compliance officers
Research labs
How to use the SecGPT?
Step1: Install SecGPT with pip install secgpt
Step2: Define your security profile in a YAML file with rules and policies
Step3: Import SecGPT and initialize the SecGPT client in your Python code
Step4: Attach SecGPT middleware to your LLM pipeline (e.g., LangChain)