No One Architecture Fits All: A Cross-Environment Evaluation of Hierarchical Red Team Agents

Autonomous red team agents increasingly stress-test AI-enabled cyber defenses by planning strategy and executing multistage attacks. Reinforcement learning RL and large language models LLMs offer complementary mechanisms for the planning and execution such agents require, and prior work has...

GARAGE: Characterizing the Automation Boundary in LLM-Based Attack Graph Generation

While modern vehicle security depends on effective Cyber Threat Intelligence CTI synthesis, current automated tools struggle with unstructured data and automotive-specific architectural nuances. To bridge this gap, we introduce GARAGE, a RAG-powered framework that converts fragmented CTI into an...

Target Kill Chain Analysis

Last week, I talked with Wall Street Journal reporter Ben DiPietro about the persistent communications gap between the data center and the board room when it comes to recognizing and tackling security threats: In almost every breach situation after his company completes a forensic analysis, Mr...