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Visualize your risk with the DatAlert dashboard

Last week, we introduced over 20 new threat models to help defend your data against insider threats, ransomware attacks and threats to your most sensitive data. But with all this...
Michael Buckbee
1 min read
Published May 2, 2016
Last updated June 12, 2023

Last week, we introduced over 20 new threat models to help defend your data against insider threats, ransomware attacks and threats to your most sensitive data.

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But with all this analysis – and all these threat models – how do you interpret and prioritize what to do next?

Enterprises have been using our UBA threat models to stop insider attacks and catch ransomware before their data gets compromised: and with so much attention to data security and heightened risk of data breaches, they need a better way to interpret and prioritize their investigations.

So we’ve created a new dashboard and web interface for DatAlert: an intuitive interface where you can quickly recognize whether your data is under attack, prioritize your investigation, drill down, and take action.

The new UI gives you a clean visualization of your data, designed to show a clear state of the system.

DatAlert_web_full

Context cards give you all the information you need on one screen with detailed analysis of alerts and activity, in order to simplify security processes and take next steps.

datalert_web_context

DatAlert’s web UI makes it easy to spot threats to your data: who’s behaving suspiciously, which data assets are threatened, and identify ransomware before it’s too late.

Curious to see how DatAlert looks with your data?   Get a free demo and find out.

What you should do now

Below are three ways we can help you begin your journey to reducing data risk at your company:

  1. Schedule a demo session with us, where we can show you around, answer your questions, and help you see if Varonis is right for you.
  2. Download our free report and learn the risks associated with SaaS data exposure.
  3. Share this blog post with someone you know who'd enjoy reading it. Share it with them via email, LinkedIn, Reddit, or Facebook.

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