AI-powered malware is beginning to erode one of endpoint security’s oldest assumptions: that malicious code will remain stable long enough to identify, fingerprint, and block. A new class of threats uses large language models during execution to rewrite scripts, generate commands, and alter obfuscation on demand producing variants that can evade static hashes and traditional […] The post AI Malware Keeps Changing Its Code to Break Traditional Signature-Based Detection appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.
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