Browse Rules

Potential Azure OpenAI Model Theft

Monitors for suspicious activities that may indicate theft or unauthorized duplication of machine learning (ML) models, such as unauthorized API calls, atypical access patterns, or large data transfers that are unusual during model interactions.

Ollama API Accessed from External Network

Detects when the Ollama LLM server accepts connections from external IP addresses. Ollama lacks built-in authentication, so exposed instances allow unauthenticated model theft, prompt injection, and resource hijacking.

First Time Python Accessed Sensitive Credential Files

Detects the first time a Python process accesses sensitive credential files on a given host. This behavior may indicate post-exploitation credential theft via a malicious Python script, compromised dependency, or malicious model file deserialization. Legitimate Python processes do not typically access credential files such as SSH keys, AWS credentials, browser cookies, Kerberos tickets, or keychain databases, so a first occurrence is a strong indicator of compromise.