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Privileged Access Management Savings Calculator

½ the Cost in ½ the Time

Discover the potential savings offered by One Identity Safeguard solutions! Just provide us with an estimate of the number of privileged users in your organization, including human users, devices, and other systems requiring admin-level access to crucial resources.

Experience the benefits of our cutting-edge Privileged Access Management (PAM) solutions, which can be acquired and implemented in half the time and at approximately half the cost compared to alternative options.

Our unique calculator takes into account the projected expenses associated with Windows and Terminal Servers, as well as Active Directory resources, to determine your estimated savings.

How many privileged users do you have in your organization?

Please enter at least 10 users.
Calculate Savings

Our Competitors Costs*

Cost to license vendors software: 
Windows Servers: 
Terminal Server CALs: 
Active Directory CALs: 
Total License and Third-party software: 
Professional Services (Installation and Deployment): 
Total Cost: 

Savings with One Identity*

Estimated cost savings on licensing with One Identity: 
Estimated cost savings on Services with One Identity: 
Total cost savings with One Identity: 

* Note: The results are not binding nor are they a quote or a sales estimate. They are for illustration purposes only and a gross estimate of potential savings to purchase and deploy One Identity Safeguard solutions. Your real-world results will vary depending on many factors beyond the scope of this calculator.

Start your Safeguard Virtual Trial Today!

One Identity Safeguard provides frictionless security for privileged access that scales and transforms with your business. Start your virtual trial and see how you can:

  • Deploy in transparent mode with no changes to users’ tools or workflows
  • Automate time-consuming processes for privileged accounts
  • Approve passwords requests from anywhere
  • Monitor, record and audit sessions with real-time alerts and blocking
  • Use pattern-free analysis to detect bad user behaviors
  • Reduce alert noise by categorizing alerts by risk and deviation levels