Cloud breaches are on the rise, and none of these breaches are small. Understanding the TTPs is key to determining where to look among the plethora of services available through Cloud Service Providers such as Google Cloud. In this session we'll enumerate sources of forensic evidentiary data among the vastness of AWS Cloudtrail, GuardDuty, Microsoft Graph, and more. A very clearly defined methodol
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Cloud breaches are on the rise, and none of these breaches are small. Understanding the TTPs is key to determining where to look among the plethora of services available through Cloud Service Providers such as Google Cloud. In this session we'll enumerate sources of forensic evidentiary data among the vastness of AWS Cloudtrail, GuardDuty, Microsoft Graph, and more. A very clearly defined methodology will be provided as a baseline for combing through this data in a precise and expedited way. Examples from real world breaches will be highlighted providing practical approaches to exposing the attacker's methods and compromise.
Michael T. Raggo has over 20 years of security research experience. Over the years he has uncovered numerous vulnerabilities in products including Samsung, Checkpoint, and Netgear. His current research focuses on hybrid cloud security risks and threats. Michael is the author of “Mobile Data Loss: Threats & Countermeasures” and “Data Hiding” for Syngress Books, and contributing author for “Information Security the Complete Reference 2nd Edition”. His Data Hiding book is also included at the NSA’s National Cryptologic Museum at Ft. Meade. A former security trainer, Michael has briefed international defense agencies including the FBI, Pentagon, and Queensland Police; and is a former participating member of FSISAC/BITS and the PCI Council. He is also a frequent presenter at security conferences, including Black Hat, DEF CON, Gartner, RSA, DoD Cyber Crime, OWASP, HackCon Norway, and SANS. He was also awarded the Pentagon’s Certificate of Appreciation.
Thursday, November 19, 2020
12:30 AM – 1:30 AM (UTC)
Online event
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