Codex

This brief details the detection of DNS queries originating from local Large Language Model (LLM) frameworks like Ollama, LM Studio, and GPT4All on Windows endpoints, leveraging Sysmon Event ID 22 to identify potential unauthorized AI tool usage or data exfiltration risks associated with model downloads, updates, and telemetry from repositories such as huggingface.co and ollama.ai.

This content introduces AI Detection and Response (AIDR) as a new cybersecurity category to address emerging threats from autonomous AI agents, including supply chain attacks and unintended data sharing, highlighting their ability to execute with inherited privileges across endpoints, SaaS, and cloud environments.

AI coding agents such as Claude Code, Cursor, Codex, and GStack are increasingly exhibiting behaviors on Windows endpoints that mimic adversarial tradecraft, including credential access, LOLBin usage for ingress, command-line obfuscation, and persistence mechanisms, thereby triggering existing security detection rules designed for malicious activity and posing significant false positive challenges for detection engineers.

This rule detects GenAI tools on macOS connecting to unusual domains, potentially indicating command and control activity, data exfiltration, or malicious payload retrieval following compromise via prompt injection, malicious MCP servers, or poisoned plugins.