Securing Accelerated Transformation: Aggregating, Analyzing, and Modeling Critical Enterprise Data

Jun 24, 2020 | 10:00-11:30 AM CST

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Synopsis

Enterprises at any stage of digital transformation have seen COVID-19 accelerate the pace of change and add urgent projects to the initiative. New complications have been introduced along the way - abrupt shifts in security architectures and policies, rapid new tool adoption, heavy reliance on the cloud and a remote workforce signing in from a surplus of new devices.

Enterprise teams employ an average of 57.1 security tools (Censuswide) to protect these siloed, complex and hybrid-cloud systems. The ability to aggregate, centralize and model these rich sets of data is critical to the success of accelerated transformation initiatives. As such, security leaders need to make top priorities of gaining big-picture visibility and control over their increasingly complex internal workflows. Only with this perspective can they implement the clear, automated processes needed to find and close the growing number of vulnerabilities, minimize compliance risk and tighten overall security efficacy.

Discussion Topics:

  • The importance of multi-source aggregation of data sets and contextual analysis for modeling across disparate network elements - including on-prem IT, OT, cloud and virtual networks
  • Maintaining control, compliance and visibility of an expanding attack surface, newly connected devices and rapidly adopted cloud technologies
  • Employing analytics to find process disconnects and uncover blind spots
  • Using internal and external threat contexts in continuous vulnerability assessment
  • Identifying, finding and connecting data points across the enterprise to allow efficient prioritization of threats

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