Adversary Brains: Hypothesis-Based Logical Signatures for Threat Actor Detection with LLMs

An adversary brain is an LLM-based model of a threat actor's behavior, held as an evolving logical signature: a hypothesis with enough structure that data can test it continuously, without a person re-interpreting it each time. Rather than any single observation, such as an IoC Indicator of...

Mandiant-Azure-AD-Investigator

Mandiant Azure AD Investigator Focusing on UNC2452 TTPs Overview This repository contains a PowerShell module for detecting artifacts that may be indicators of UNC2452 and other threat actor activity. Some indicators are "high-fidelity" indicators of compromise, while other artifacts are so calle...