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protectai avatar

protectai/rebuffArchived

0
View on GitHub↗
1,501 estrellas·137 forks·TypeScript·Apache-2.0·14 vistasplayground.rebuff.ai↗

Rebuff

LLM Prompt Injection Detector

Features

  • AI Application Security - Security layer to protect AI applications against prompt injection attacks.
  • AI Security and Red Teaming - Prompt injection detector for LLM applications.
  • Detection and Monitoring - Framework for detecting and preventing prompt injection attacks.
  • Guardrails and AI Safety - Listed in the “Guardrails and AI Safety” section of the The Incredible Pytorch awesome list.
  • Red Teaming and Security - Detection and prevention tool for prompt injection attacks.

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    NeMo-Guardrails is a toolkit for adding programmable safety constraints and dialogue boundaries to large language model conversational systems. It functions as security middleware that intercepts inputs and outputs to block prompt injections, jailbreaks, and sensitive data leaks, while providing a conversational dialogue manager to define structured interaction flows through configuration files. The framework includes a hallucination filter to screen model outputs for factual accuracy and a specialized modeling language for defining conversational flows and constraints. It provides capabiliti

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    This project is no longer actively maintained. You are welcome to fork and continue its development on your own. Thank you for your interest and support.

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    PyRIT is an AI vulnerability assessment tool and security scanner designed to detect risks in large language model applications. It functions as a generative AI red teaming framework used to simulate adversarial attacks and identify weaknesses in system guardrails. The tool automates AI risk assessment by scanning generative AI components for security vulnerabilities. It utilizes automated testing and analysis to identify security gaps and prevent potential exploits through a consistent, repeatable process. The system incorporates asynchronous model orchestration to compare security postures

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Ver las 30 alternativas a Rebuff→

Preguntas frecuentes

¿Qué hace protectai/rebuff?

LLM Prompt Injection Detector

¿Cuáles son las características principales de protectai/rebuff?

Las características principales de protectai/rebuff son: AI Application Security, AI Security and Red Teaming, Detection and Monitoring, Guardrails and AI Safety, Red Teaming and Security.

¿Qué alternativas de código abierto existen para protectai/rebuff?

Las alternativas de código abierto para protectai/rebuff incluyen: mnns/llmfuzzer — This project is no longer actively maintained. You are welcome to fork and continue its development on your own. Thank… leondz/garak — Garak is a suite of tools for measuring AI reliability, scanning for vulnerabilities, and automating security… nvidia/nemo-guardrails — NeMo-Guardrails is a toolkit for adding programmable safety constraints and dialogue boundaries to large language… nvidia/garak — Garak is an AI model evaluation tool and vulnerability scanner designed for red teaming large language models and… azure/pyrit — PyRIT is an AI vulnerability assessment tool and security scanner designed to detect risks in large language model… protectai/llm-guard — LLM Guard is a security firewall and guardrail framework designed to scan and sanitize inputs and outputs for large…