3 Factors to Consider Before the Assessment of an IAM System

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When the EU passed the GDPR or the General Data Protection Regulation, the companies all over the world have been striving to get prepared for the new phase in the cybersecurity compliance. IAM or Identity and Access Management is the central and most important components of any company’s security and an important aspect of GDPR as well. Apart from that, the older versions of IAM systems aren’t just capable of dealing with a mobile workforce, the cloud based networks and apps, and distributed labor at scale. So, no matter if your company has been in the EU or not, you will need a robust IAM system to protect your important assets. But this cannot be done just by a Customer IAM or Customer Identity and Access Management system, you will need the one that has the right type of protection for your company.

Here are some factors to consider.

  1. Lifecycle management

When you onboard a new employee and you set them up with the appropriate access rights is simply not a set and forget task. When these employees change their roles and responsibilities in their entire work lifecycle, they will require access rights to data and apps. In this process, the old permissions are no longer needed because of the manual processes and the overwhelmed IT staff. And this can lead to many security issues. When selecting an IAM, ensure that the employee state changes trigger automatic mechanisms that can effectively handle the employee access. And when there is an end of the lifecycle of the user, your IAM must be capable of making it easy to offboard these employees who aren’t working in your company anymore.

  1. Fulfilment

The biggest issue with the old school legacy IAM systems is that the identity management for the account request as well as the creation are being managed by the scripts and manual processes. In that very paradigm, when it came to fulfilling the authorization and the authentication requests, it wasted a lot of time, money, and labor which made it quite prone to inaccuracies. The modern IAM systems are all about the letting go of all the old methods and relying on the automatic and scalable processes in order to manage huge volumes of requests with highest accuracy.

  1. GUI

When you have an IAM that does everything for you is a superb investment, but it all goes in vain when it is not able to query the data adequately and manage it properly as well. When data is presented in an uncomplicated way, it thrives the decision making process. Ensure that the IAM system has a graphical interface and has the data visualization that is clear, understandable, and intuitive.