Identify Risky SaaS Applications and Users

Learn how to identify and remediate risky apps on SaaS Security Inline.
SaaS Security Inline provides tools to help you identify risky SaaS applications and users, including analytics, risk scores, and reports. After you identify your organization’s risks, you have the following solutions to increase your security posture:
  • author and submit SaaS security policy rule recommendations to address the risks. However, before you do so, consider some guidelines.
  • Identify a competing product that’s more secure. Search the Application Dictionary by
    Category
    to find a suitable replacement.
  • Notify users of the unsanctioned app to use the alternative, sanctioned app. Don’t forget to tag the sanctioned SaaS application.
  • Change the risk score.

Identify Risky SaaS Users

Although
Visibility
Discovered Users
, displays your list of users that are using discovered SaaS apps, not all of those uses are risky. You’ll need to observe the users in the context of the risky SaaS apps and overall application usage (MB). For example, if you find 100 users using WeTransfer but only a few people are uploading large amounts of data, those users are likely risky users and require more scrutiny.
  1. Select
    Visibility
    Discovered Applications
    .
  2. Filter on SaaS apps with a risk score of 8,9, or 10.
  3. Do one of the following:
    • Click on the individual SaaS apps.
    • Click on the number of users for the SaaS apps.
  4. Sort the column by
    Usage
    .

Identify Risky SaaS Applications

A risk score in SaaS Security Inline enables you to make decisions about security posture of a given app. The risk score is between 1 (low risk) and 10 (high risk) and is based on compliance attributes. Key attributes have a higher impact on the score: the score is assigned by applying different weights to each compliance attribute and calculating the score based on whether the application meets those compliance standards.
  1. Select
    Visibility
    Discovered Applications
    .
  2. In the
    Risk
    bar graph, click on the
    High
    link to display those SaaS applications with the highest risk.
  3. Observe the
    Risk
    score for each SaaS application in the
    High
    risk category.
    Risk Score
    Description
    8-10
    High Risk — Very likely to be a risk
    4-7
    Med Risk — Moderate risk
    1-3
    Low Risk — Very unlikely to be a risk
  4. Expand the Application Detail for the SaaS application to assess the risk characteristics (compliance attributes) that contribute to this risk score.

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