Splunk Infrastructure: Analytics & Intelligence for IaaS & Access Gov

Apr 26, 2017 · McLean, United States of America

Title: "Splunk Infrastructure (AWS, Azure) Analytics & Intelligence for IaaS & Access Governance powered by Saviynt"

Abstract: This lecture will discuss the combination of Splunk curated usage data and correlating it to user identities to provide analytics & intelligence powered by Saviynt to achieve continuous controls and near real time responses to secure the enterprise, Cloud and Big Data applications. Attendees will gain familiarity with seamlessly extending Splunk features with comprehensive application access management, data access management, high privilege activity certification, and actionable alerts utilizing the Splunkbase app; time permitting a Splunk user group discussion will be facilitated on how to write traditional Splunk searches and building custom dashboards to further enhance risk (high value assets: data, applications) and context (person, GRC control policies) of each transaction (create, read, update, delete). 

Bio: Kelvin Brewer, Saviynt, Principal Security Architect, Public Sector. Kelvin has been working in Public & Commercial sectors for more than the past 15 years working across the complete software development life cycle.  He's a recognized subject matter expert in Identity, Access and Privilege Management applications. He's a veteran software engineer and architect experienced in understanding the client's needs and delivering reliable technical solutions.

Sponsors this month by our friends at Saviynt, Inc. & Carahsoft!

Event organizers
  • Splunk > WashDC User Group

    This is an interactive meetup for Washington D.C., Northern Virginia, and Maryland users, enthusiasts and explorers of Splunk. Splunk is used for application management, security and compliance, as well as business and web analytics. Members will be able to network with peers, learn best practices and better understand how Splunk solves real world data intelligence problems across the enterprise. We'll aim to regularly share use cases that showcase how machine data can be used to drive business decision ma

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