KillChainGraph: Researchers test machine learning framework for mapping attacker behavior

A team of researchers from Frondeur Labs, DistributedApps.ai, and OWASP has developed a new machine learning framework designed to help defenders anticipate attacker behavior across the stages of the Cyber Kill Chain. The work explores how machine learning models can forecast adversary techniques and generate structured attack paths. Combining ATT&CK with the kill chain The Cyber Kill Chain, introduced by Lockheed Martin, breaks down attacks into seven stages: reconnaissance, weaponization, delivery, exploitation, installation, command and … More → The post KillChainGraph: Researchers test machine learning framework for mapping attacker behavior appeared first on Help Net Security.
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