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It is a comprehensive tool designed to fortify the security of Large Language Models (LLMs). By offering sanitization, detection of harmful language, prevention of data leakage, and resistance against prompt injection attacks, it ensures that your interactions with LLMs remain safe and secure. | CVETodo is a New Zealand-based security vulnerability tracking service, founded in Tauranga with the mission to make security management simpler and more efficient for IT professionals worldwide. We provide real-time CVE monitoring, trending insights, and comprehensive vulnerability intelligence to help organizations stay ahead of security threats. |
Fortify the security of Large Language Models;
Detection of harmful language;
Prevention of data leakage;
Resistance against prompt injection attacks | All CVEs, 2025 CVEs, 2024 CVEs, 2023 CVEs, The Complete Guide to CVE Alerts and Vulnerability Notifications |
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It is a robust static analysis framework for validating that LLM-generated structured output is safe. It currently supports SQL.

It is a self-hardening prompt injection detector. It is designed to protect AI applications from prompt injection (PI) attacks through a multi-stage defense.

It is an open-source Python package for specifying structure and type, validating and correcting the outputs of large language models (LLMs).

It is an open-source toolkit for monitoring Large Language Models (LLMs). It extracts signals from prompts & responses, ensuring safety & security.