Accelerating Offensive R&D with Large Language Models
At Outflank, we continually seek ways to accelerate our research and development efforts without compromising quality. In this pursuit, we’ve begun integrating large language models (LLMs) into our internal research workflows. While we’re still exploring the full potential of AI-powered offensive tooling, this post highlights how we’ve already used AI to speed up the delivery of traditional offensive capabilities.
By leveraging AI as a research accelerator, we can dedicate more time to refining, testing, and hardening the techniques that ultimately make it into our OST offering. This post is a case study of our AI-assisted exploration of the “trapped COM object” bug class.
Tags: AI, DCOM, Lateral Movement