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The science behind Microsoft Threat Protection: Attack modeling for finding and stopping evasive ransomware

June 10, 2020 TH Author AI and machine learning, Automation, Cybersecurity, data science, Endpoint security, human-operated ransomware, lateral movement, Microsoft Defender Advanced Threat Protection, Microsoft security intelligence, Microsoft Threat Protection, PARINACOTA, probablistic approach, ransomware, Security, Security Intelligence, Threat protection

Microsoft Threat Protection uses a data-driven approach for identifying lateral movement, combining industry-leading optics, expertise, and data science to deliver automated discovery of some of the most critical threats today.
The post The science behind Microsoft Threat Protection: Attack modeling for finding and stopping evasive ransomware appeared first on Microsoft Security. READ MORE HERE…

Microsoft Secure

Data science for cybersecurity: A probabilistic time series model for detecting RDP inbound brute force attacks

December 18, 2019 TH Author AI and machine learning, Automation, brute force attack, Cybersecurity, data science, Endpoint security, Event ID 4625, Microsoft Defender Advanced Threat Protection, Microsoft security intelligence, Microsoft Threat Experts, probablistic time series model, Remote Desktop Protocol (RDP), Security Intelligence, Threat protection, Windows Security

Microsoft Defender ATP data scientists and threat hunters collaborate to use a data science-driven approach to detecting RDP brute force attacks to protect customers against real-world threats.
The post Data science for cybersecurity: A probabilistic time series model for detecting RDP inbound brute force attacks appeared first on Microsoft Security. READ MORE HERE…