LLMs are reshaping endpoint security research by turning what used to be slow, manual reverse engineering into an automated, repeatable evasion workflow. Recent hands-on experiments with advanced models driving disassembly and local analysis show that a compact harness LLM plus disassembler, a shared state file, and a loop can recover EDR artifacts, decrypt local signature […] The post AI-Powered Reverse Engineering Turns EDR Rule Analysis Into Automated Evasion Workflow appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.
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