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AI-Powered Polymorphic Malware: Autonomous Code Mutation and EDR Evasion
Proof-of-concept research demonstrates a transition from rule-based polymorphic engines to autonomous, AI-driven mutation. By embedding LLM modules within payloads, malware can perform real-time, on-device binary and source code rewriting to alter file hashes and execution patterns. This mechanism specifically targets the bypass of EDR/XDR behavioral heuristics and signature-based detection. The research highlights a critical "Detection Delta"—the latency between AI-driven mutation events and the update of defensive signatures—effectively neutralizing traditional reactive security models and enabling scalable, autonomous campaigns without manual operator intervention.