Zluri Browser Extension
Get actionable insights on your SaaS usage.
WHAT IS ZLURI?
Zluri puts the IT Teams back in control of their new Saas-ified landscape.
Zluri is an enterprise SaaS Management Platform (SMP). It helps you discover, manage and optimize your SaaS stack from a single dashboard.
Monitor and Manage
Proactively monitor and manage SaaS spend, and automate end-to-end SaaS apps renewal management.
Simplify, Plan and Secure
Zluri is data-driven and helps IT teams simplify, plan, secure, and get the most out of their SaaS apps portfolio.
Browser Extension
Zluri uses various methods to discover SaaS applications. The browser extension is one of them.THE BROWSER EXTENSION
Zluri browser extension helps IT administrators discover the SaaS applications used by employees of the organization.
The browser extension runs locally on the client-side to read browser activities & reports them to Zluri server for analysis. That's how we identify & analyze the SaaS application-related activities & present them on the Zluri dashboard.
THE DATA WE COLLECT
What data do we collect?
We collect only non-sensitive information from the browser
Data we collect
The URL, Title, Timestamp of opening/closing the tab.
Data we do not collect
We do not read the cookies saved in the browser, browser history or any content from the websites visited.
PROCESSING THE INFORMATION
So, how do we process that information?
Identifying as a SaaS app
Each visit to a website whose domain appears in our master list of domains is identified as a SaaS app.
Each visit is counted as an activity
We note the website visit timestamp & duration of a visit for the user. Each visit is counted as an activity.
Analysing the activity data
Once we have the activities attributed to users, we aggregate that at least at daily level for the organization & calculate how frequently the users are using applications subscribed by the organization. This gives us a percentile score for a specific user for an application within that organization.
Final usage score is reported
As we collect activity data from multiple sources we take the weighted average values of the usage scores obtained from all sources. The final usage score reported in our application is after the normalization of the weighted average score.
GETTING STARTED
