June 19, 2019
1PM CDT // 11 AM PDT

Entitlements using Graph and ML
June 19, 2019 - 1 PM CDT // 11 AM PDT

Congratulations, you have Active Directory, 27 different systems with complicated group and role permissions.  Or even better, maybe you’ve got some of that logic written directly into your application…more than once!

And now you’ve got your regulatory compliance auditor asking for reports about who can access that piece of data from last quarter! And your development director turns to your devops lead and says “When did we deploy that code patch?”

Moreover, how well do you know all those new hires? How can you be sure no one’s snooping around in the sensitive accounting data?

Cut Costs & Manage Entitlements with Graph Technology & ML Analytics

Copyright © 2019 Expero - All rights reserved.

Entitlements using 
Graph and ML
June 19, 2019 - 1 PM CDT // 11 AM PDT

Congratulations, you have Active Directory, 27 different systems with complicated group and role permissions.  Or even better, maybe you’ve got some of that logic written directly into your application…more than once!

And now you’ve got your regulatory compliance auditor asking for reports about who can access that piece of data from last quarter! And your development director turns to your devops lead and says “When did we deploy that code patch?”

Cut Costs & Prevent Fraud with Graph Technology & ML Analytics

What You Will Learn

  • Technology - Discuss how to quickly integrate Graph & Machine learning into existing technology platform stack.
  • Fraud Avoidance - Identify and Intervene with internal fraud or bad actors.
  • Master ID Recognition - Manage & view IDs across multiple systems.
  • Super User View - Ability to view & track data for internal or external entitlements.
  • Historical Data - View, manage, and show analytics of historical data.
  • Permission - Identify new requests and grant or block access.
  • Access and Rule Integration - Use and view your current access and permission rules across systems.
  • Data and System Provenance - Integrate and show user or system access to data over time.
  • Scoring - Score & identify risk and potential interventions.
  • Audit and Compliance - Case setup with history & event tracking for reporting.
  • Predictive - Identify trends and patterns, analyze history to create predictive outcomes, and visualize intervention impact and probability of success.

What You Will Learn

  • Technology - Discuss how to quickly integrate Graph & Machine learning into existing technology platform stack.
  • Fraud Avoidance - Identify and Intervene with internal fraud or bad actors.
  • Master ID Recognition - Manage & view IDs across multiple systems.
  • Super User View - Ability to view & track data for internal or external entitlements.
  • Historical Data - View, manage, and show analytics of historical data.
  • Permission - Identify new requests and grant or block access.
  • Access and Rule Integration - Use and view your current access and permission rules across systems.
  • Data and System Provenance - Integrate and show user or system access to data over time.
  • Scoring - Score & identify risk and potential interventions.
  • Audit and Compliance - Case setup with history & event tracking for reporting.
  • Predictive - Identify trends and patterns, analyze history to create predictive outcomes, and visualize intervention impact and probability of success.

Entitlements:
Identity Management

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Presented By: 

Brian Hall, Expero