Pirates in the Data Sea: AI Enhancing Your Adversarial Emulation

The report evaluates credential-detection tools and their trade-offs, recommends combining tool outputs and enumerating internal file shares, and discusses Active Directory internal reconnaissance using BloodHound and various ingesters. It proposes use cases for identifying high-value targets in AD (backup, SCCM, Exchange, etc.) and suggests applying LLMs to unstructured AD fields, with a Pydantic model for recording reasons.