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Welcome to the Tuebora blog. As pioneers in leveraging AI Agents for smarter, faster, and more adaptive identity management, we aim to empower businesses to secure their digital ecosystems with precision and efficiency. Here we strive to inform and inspire our readers with insights into the latest innovations, emerging trends, and transformative ideas in the IGA space. You’ll discover how Tuebora not only anticipates industry shifts but also pioneers new concepts that challenge traditional approaches to identity governance. Let us guide you through the evolving landscape of IGA, where our expertise helps bridge the gap between complex challenges and practical, forward-thinking solutions.

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Knowledgeable IGA – How it produces better outcomes?

For an IGA solution, among plethora of capabilities, the following are table stakes - event-driven/resource-owner/orphaned-account/manager-based reviews, multi-level approval access requests with sequential/parallel/quorum-based approvals, customized forms for various Request types, remediation of SOD control violations.  While this ensures that we have an apparatus to manage basic governance processes, it retains the administrative burden.  Organizations are spending lot of resources on same set of activities and vendors are building same set of capabilities as before.  The continuous adornment around these features is decelerating innovation in this space.  The focal point instead should be around pruning the expanse of governance activities while not compromising on security or compliance objectives.  The call to lighten the load on the line of business has never been louder.  The key questions that management and stakeholders must answer are as follows:



  • What can the solution do beyond providing interface to submit Requests and perform Reviews?
  • Can the system learn from current access landscape and activities performed?
  • What inferences and prescriptions can the system provide based on what it has learnt – why someone needs to be given or not given something, what and when to review something?

    Knowledgeable-IGA (1)

Inferences and prescriptions are arrived at by using methodologies that will help us build and train a knowledgeable system.  Such a system will have learning algorithms to analyze data and changes and develop Policies for timely, accurate and reduced governance activities.  Though not essential, if an organization has modeled Roles, when Policies are amalgamated with Roles, it creates a very potent, labor-saving manifesto for IGA.

Here are links that provide more insight into this novel approach:

There is also a joint Webinar on this topic with KuppingerCole on 30th November 2023. Click here to Register.

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