AI-Native Security Research platform
Security World Model (SWM) is an AI-native platform designed to automate and orchestrate complex security research workflows. It combines intelligent AI agents, structured planning, knowledge graphs, and modular large language model (LLM) integration to transform how security investigations are conducted. Rather than relying on disconnected tools and manual processes, SWM provides a unified environment for planning research, collecting evidence, reasoning over findings, and generating actionable reports. Its extensible architecture allows support for multiple AI models and research tools while ensuring scalability, reproducibility, and collaboration. SWM enables security teams to investigate faster, preserve institutional knowledge, and build intelligent, repeatable security research pipelines.
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