With most (if not all) Identity Access & Management (IAM) vendors claiming to be able to adapt to risky situations and offer some sort of ‘adaptive risk access’ through User Behavior Analytics, how do you select the right solution for your organization?
The answer lies in taking a peek under the hood at the data science being used to make an IAM product intelligent, adaptable and user-friendly. Before your eyes glaze over, you don’t have to be a data scientist to understand what to look for as you evaluate solutions.
In this webinar, we’ll take the complex subject of data science for identity and make it simpler by providing some basic rules that can be applied to how you look at and select the right IAM and MFA solutions. IT and security personnel tasked with analyzing and testing these tools will come away from this webinar with a greater understanding of:
- What to look for when it comes to the quality & comprehensiveness of the data being gathered and used by an IAM product.
- Automation: How a solution should be able to intelligently, continuously and automatically evaluate user behavior patterns and step-up authentication through MFA to protect critical resources that may be under attack.
- Orchestration: How an IAM solution should be able to “orchestrate” with other key IT and SIEM tools to exchange information that makes all of these solutions work better collectively to provide protection.
- User Behavior Analytics: How continuous risk assessment and continuous authentication do NOT have to come at the cost of a great user experience.
Following this discussion, we’ll provide a demo of the Idaptive Next-Gen Access platform and showcase some examples of how it uses data science to deliver intelligent risk-based access and adaptive MFA.
