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Machine Learning in Security: Detecting Suspicious Processes Using Recurrent Neural Networks | Splunk

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Malicious software like ransomware often use tactics, techniques, and procedures such as copying malicious files to the local machine to propagate themselves across the network. A few years ago, the Cybersecurity and Infrastructure Security Agency, the Federal Bureau of Investigation, and the Department of Health and Human Services issued a joint cybersecurity advisory to ward off potential harm from threat actors for at-risk entities. The focus was on attacks from malicious cyber actors utilizing TrickBot and BazarLoader malware, often leading to ransomware attacks, data theft, and the disruption of healthcare services. Despite the warning, these threats continue to haunt our networks with increasing sophistication. Cybercriminals disseminate malicious software via phishing campaigns that contain either links to malicious websites that host the malware or attachments with the malware. These malicious files are usually labeled using legitimate sounding programs or document names to lur

Machine Learning in Security: Detecting Suspicious Processes Using Recurrent Neural Networks | Splunk Machine Learning in Security: Detecting Suspicious Processes Using Recurrent Neural Networks Security March 23, 2023 Kumar Sharad Malicious software like ransomware often use tactics, techniques, and procedures such as copying malicious files to the local machine to propagate themselves across the network. A few years ago, the Cybersecurity and Infrastructure Security Agency, the Federal Bureau of Investigation, and the Department of Health and Human Services issued a joint cybersecurity advis

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