Modern Data Security for the New Data Landscape

Requirements
  • Headquartered In: USA
  • Company Size: 750+ Employees
  • Industries: All except Resellers
  • Title & Job Level: IT Manager+
  • Title & Job Level: Cybersecurity Influencers and Decision Makers
Overview

Businesses today are embracing cloud-native platforms to enable deep analytics and AI. These platforms allow organizations to connect and organize data from across their IT landscape and deploy data analytics and AI capabilities, to develop critical business insights, accelerate innovation, and gain a competitive advantage. 

However, as organizations make this digital transformation, they often struggle with disconnected teams operating in silos as well as a sprawling IT landscape. In addition, businesses must continue to address and report compliance with industry and government regulations, even as their IT and data infrastructure constantly evolves. Under these conditions, navigating compliance auditing and reporting can be an expensive and slow process.

In order to unleash their potential for innovation, organizations deployed on our security platform for Data need a solution to help them achieve: 

  • Data governance – discovery and classify all sensitive data in their environment and set access policy as to which users have access to that data 
  • Data security – monitoring access to sensitive or regulated data in real time, detecting anomalous activity, and identifying and remediating threats 
  • Compliance with regulations – automating compliance auditing using pre-built templates and creating reports on demand. 

Our Data Protection platform helps achieve these outcomes by extending comprehensive data protection and compliance reporting capabilities and expanding on the platform’s native data governance tool set.

Top reasons our community cites for adopting or considering this solution:

  • Difficulties with compliance auditing and reporting.
  • Dealing with too many tools across environments.
  • Securing data across hybrid multi cloud environments.
  • Protecting data while moving it from legacy to modernized data deployments.
  • Need to manage IT vulnerabilities and risk.
  • Protecting data as use and volume increases.
  • Dissatisfaction with current data security tools.

You must be directly involved in your company’s evaluation process for solutions like this, or in the management chain for people who do. You must be a hands-on user of the prospective solution or in the management chain of users. Please do not register for programs that are an unlikely fit. Your credibility and ours depend on it.

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