The Vulcan Analytics
An intro to Vulcan Analytics and system behavior of filters, data drilling, and data-validation
Updated over a week ago

About Vulcan Analytics

The data analytics in your Vulcan Platform offers statistical analysis of your Vulcan data to help you monitor the status and progress of your risks, SLAs, remediation, and threat intelligence. Use Vulcan Analytics to analyze and shape your cyber-security processes and improve decision-making.

Watch the "Intro to Analytics" video:

Analytics Filters and Data Drilling

Period filter

To better analyze your cyber-security status and progress, use the Period filter to compare two pre-defined periods. For example, you can compare the last 30 days with the 30 days before.

You can select to compare the Last 14 Days, Last 30 Days, and Last 90 Days.

Note: Due to data retention policy, when selecting "Last 90 Days", the charts might show data from the recent 90 days without the comparison to any other period. Therefore, the KPIs show "Infinity". This is relevant only to some customers.

Examples of how period comparison works

When selecting a comparison period, the trends and data on the page adjust to show you the current and most relevant data compared to the previously selected date. For example, the Security Posture Rating below shows 81.1%, and the % change from the last period is 9.17% less in SPR. As you can see, the SPR % in the 30 days between 01/24/22 and 02/22/2022 was 9.17% more (=90.27%) than the current state. This means your SPR % has decreased, and it may require your attention to ensure it always stays above the threshold.

Note: Desirable changes are indicated in Green, while undesirable changes are indicated in Red. If there is no color indication, the change is neutral.

Another example is the Risk Mass. As you can see below, "An example of an unwanted change" shows that the Risk Mass has increased by 0.45% compared to the previous 30 days. Remember that you should always aim to decrease your overall Risk Mass. If you look at the following "example of a change to strive for[...]", you can see that the Risk Mass has decreased by 38.42%.

  • An example of an unwanted change is an increasing Risk Mass:

  • An example of a change to strive for is a decreasing Risk Mass:

Business Group filter

This is one of the most important filters you'll use. Use the Business Groups filter to present data on a specific Business Group (or more) that interests you most or has the highest impact. This filter exists across the Vulcan Analytics Reports helping you narrow your data and focus on what matters.

Other filters

You can filter to make the charts view data only on specific Asset Type, Source (connector), Risk Level, and External Facing (yes/no).

In some Analytics, the Filters appear on top, while others may appear on the right.

The ‘Has campaign’ filter:

This filter lets you visualize data for ongoing remediation campaigns.

Note: Currently, the filter support Vulnerability-based data only

See it in action:

Using the Data Drilling capability

Data drilling is a capability that takes you from a more general view of the data to a more specific one at the click of a mouse. Simply use the up-down arrows available on the relevant widgets or hover over a data point and right-click to see the data drilling options available.

  • Click the up arrow and double-down arrows to drill up and down to the highest and lowest level of available data.

  • Turn on the Drill mode by clicking the down single arrow. Then, click a data point to filter the trends.

  • Right-click a point of data to access all the drill-down options:

    • Drill down

    • Show as a table

    • Show next level

    • Expand to next level

    • Include in the data filter

    • Exclude from the data filter

    • Drill through (access the Attack Surface Report)

See it in action:

The Vulcan Analytics Reports

Self-Service Analytics

You can create your customized analytics dashboard. Learn all about it here.

Analytics FAQ and Data Validation

Read our Analytics FAQ and Data Validation article here.

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