Inspiration

Risks associated with the Malicious insiders

What it does

It connects with the downstream applications using OpenID Connect (OIDC), handles automatic provisioning, on-demand provisioning and utilizes AI to identifies the unusual patterns in the user access. for example a contractor with an Admin access is a unusual patterns.

How we built it

We built it using Next.js, Auth0 and Flask

Challenges we ran into

  1. Understanding how the IGA systems works.
  2. Planning and designing the flow
  3. Building and training the AI model to generate accurate results

Accomplishments that we're proud of

The idea of building an AI based risk management system to overcome the limitations of "Access Certification".

explantion: The "Access Certification" has to conducted periodically, usually the organizations conduct "Access Certification" once in 30 days and the certification duration may last for 2 weeks. which means to identify a malicious users with privileged access may take atleast 10 days and if the certifier is an ignorant or if he/she is a malicious insider then they might exploit the access certification process to gain unauthorized access or tamper with access rights.

What we learned

The Importance of AI in IGA systems to identify the potential risks

What's next for Identity, Access and Risk Management

  1. Improving the AI model
  2. Colabrating with the IGA providers to integrate the AI based Risk Management System as a feature.

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