AI & LLM Threat Detection Security Toolkit

Collection of Sigma, YARA, and Suricata rules for detecting LLM app compromises, ML supply chains, and AI infrastructure threats.

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AI & LLM Threat Detection Security Toolkit

This toolkit provides essential security rules for identifying threats targeting AI and Large Language Model (LLM) applications. Developed for security professionals and developers, it offers a comprehensive set of detection mechanisms to safeguard your AI infrastructure and applications against emerging attack vectors.

What it Does

The AI & LLM Threat Detection Security Toolkit is a curated collection of threat intelligence rules designed to detect malicious activities within AI and LLM environments. It focuses on identifying compromises in LLM applications, vulnerabilities within the ML supply chain, and broader threats to AI infrastructure. By leveraging established detection languages, it enables proactive monitoring and incident response.

Key Features

Sigma Rules: A broad range of Sigma rules for detecting various LLM-related threats, including prompt injection, data exfiltration, and unauthorized access.
YARA Rules: Specific YARA rules for identifying malicious code, malware, and artifacts associated with compromised ML models and AI systems.
Suricata Rules: Network-based detection rules for Suricata to identify suspicious network traffic patterns indicative of AI infrastructure attacks.
Comprehensive Coverage: Addresses threats across LLM applications, ML supply chains, and underlying AI infrastructure.
Open Source: Hosted on GitHub, allowing for community contributions and continuous improvement.

Who it's For

This toolkit is intended for:

AI Security Engineers: Professionals responsible for securing AI applications and infrastructure.
DevSecOps Teams: Teams integrating security into the AI development lifecycle.
Incident Responders: Analysts investigating security incidents within AI environments.
ML Engineers: Developers building and deploying machine learning models who need to understand potential security risks.
Security Researchers: Individuals studying and developing new methods for detecting AI-specific threats.