SentinelOne Labs developed a multi-agent LLM architecture using OpenClaw and Claude models to automate malware reverse engineering. By employing a serial consensus pipeline with an active rejection mandate, the system forces independent tool agents (radare2, Ghidra, Binary Ninja, IDA Pro) to cross-validate findings, significantly reducing decompiler artifacts and hallucinations.
SysJoker
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Building an Adversarial Consensus Engine | Multi-Agent LLMs for Automated Malware Analysis