MCP Defender
MCP Defender is an open source desktop application that functions as an AI firewall, designed to monitor and protect Model Context Protocol (MCP) communications. It acts as a secure proxy between AI applications and MCP servers, analyzing all communications for potential threats in real-time. It automatically scans and protects all MCP tool calls, providing advanced LLM-powered detection of malicious activity. Users can manage the signatures used during scanning, allowing for customizable security measures. MCP Defender identifies and blocks common AI security threats, including prompt injection, credential theft, arbitrary code execution, and remote command injection. It supports integration with various AI applications such as Cursor, Claude, Visual Studio Code, and Windsurf, with more applications to be supported in the future. It offers intelligent threat detection, alerting users as soon as it identifies any malicious activity being performed by AI apps.
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LLM Guard
By offering sanitization, detection of harmful language, prevention of data leakage, and resistance against prompt injection attacks, LLM Guard ensures that your interactions with LLMs remain safe and secure. LLM Guard is designed for easy integration and deployment in production environments. While it's ready to use out-of-the-box, please be informed that we're constantly improving and updating the repository. Base functionality requires a limited number of libraries, as you explore more advanced features, necessary libraries will be automatically installed. We are committed to a transparent development process and highly appreciate any contributions. Whether you are helping us fix bugs, propose new features, improve our documentation, or spread the word, we would love to have you as part of our community.
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WebOrion Protector Plus
WebOrion Protector Plus is a GPU-powered GenAI firewall engineered to provide mission-critical protection for generative AI applications. It offers real-time defenses against evolving threats such as prompt injection attacks, sensitive data leakage, and content hallucinations. Key features include prompt injection attack protection, safeguarding intellectual property and personally identifiable information (PII) from exposure, content moderation and validation to ensure accurate and on-topic LLM responses, and user input rate limiting to mitigate risks of security vulnerability exploitation and unbounded consumption. At the core of its capabilities is ShieldPrompt, a multi-layered defense system that utilizes context evaluation through LLM analysis of user prompts, canary checks by embedding fake prompts to detect potential data leaks, pand revention of jailbreaks using Byte Pair Encoding (BPE) tokenization with adaptive dropout.
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CrowdStrike Falcon
CrowdStrike Falcon is a cloud-native cybersecurity platform that provides advanced protection against a wide range of cyber threats, including malware, ransomware, and sophisticated attacks. It leverages artificial intelligence (AI) and machine learning to detect and respond to threats in real time, offering endpoint protection, threat intelligence, and incident response capabilities. The platform uses a lightweight agent that continuously monitors endpoints for signs of malicious activity, providing visibility and protection without significant impact on system performance. Falcon’s cloud-based architecture ensures fast updates, scalability, and rapid threat response across large, distributed environments. Its comprehensive security features help organizations prevent, detect, and mitigate potential cyber risks, making it a powerful tool for modern enterprise cybersecurity.
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