The Cartographer Framework

Post-Script

Red Team Security Research, Offensive Security Research, and its progress are the culmination of a vast collective effort to protect and harden our systems before they themselves are found to be vulnerable. It is a uniquely beautiful academic field which relies on the value provided by experts current and emerging alike. While the current state of the The Cartographer Framework Tool does not leverage every vulnerability logged in the framework set forth by MITRE - I hope that over time, those gaps themselves will be filled by myself and others. The goal of this project is to provide a toolkit which facilitates automated, streamlined, centralized research which benefits the overall security posture of ALL AI/LLM Systems currently existing. From a Red Team perspective, the research that occurs yielding notable findings does so in a manner that is nearly indistinguishable from Magic. The accomplishments of the individuals who have come before me, is an art form as much as it is a science. When findings occur, they ideally are moved into a central repository for other researchers to become aware of. This bolsters the overall strength and knowledge of ALL security researchers currently contributing to the environment. The actions to harden the security posture relative to the entire environment benefit from aggregation provided by a framework. The goal of this toolkit is to establish a thorough repository of lessons learned, pertaining to the ATLAS Framework, so that emerging researchers can apply thorough testing to any AI/LLM Systems they encounter over the course of their career.