Data Analysis Challenges in Cybersecurity

An overview of the challenges in data collection and monitoring that can protect from cyber threats. As organizations expand their digital estate and the workforce evolves into a hybrid environment, businesses must monitor tremendous amounts of data to detect suspicious activity. Through millions of events, cybersecurity analysts and data scientists must reduce false positives, identify suspicious signals, and compile threat intelligence to protect their organization.
In this session, we will review the challenges in data collection and monitoring as well as the tools and solutions that can be leveraged to get up to speed and protect against cyber threats.
About the Presenter:
Jordan is a Program Manager 2 at Microsoft working with Azure Security Solutions. He has a B.S. in Industrial Engineering from Purdue University and has a strong focus on cybersecurity, social good, and digital transformation. Jordan has worked across numerous industries (public and commercial) in their adoption of technology to enhance privacy, social programs, and organizational security.
Table of Contents:
0:00 - Introduction
3:00 - Security roles
8:11 - Cyber challenges
12:17 - Collection is not detection
13:20 - Consequences of over-collection
16:16 - Cyber in the news
19:16 - SolarWinds case study
27:48 - Cloud security posture management
30:07 - Security information event management
33:13 - Security Orchestration, automation, and response
35:00 - QnA
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