Mary Ruddy

Mary Ruddy

VP Analyst
Mary Ruddy is a Research Vice President on the GTP Identity and Access Management team. Her primary focus areas are single sign-on, identity protocols and federation, modern IAM architecture, API gateways, and customer IAM. Other topics she covers include mobile authorization, trust elevation (step-up, dynamic, continuous, risk-based and adaptive authentication), identity analytics, bring your own identity (BYOI), trust frameworks, government identity initiatives and identity standards. She is a founding member of the OASIS Electronic Identity Credential Trust Elevation Methods Technical Committee and Chair of Identity Commons. Ms. Ruddy was also a founding member of the Identity Ecosystem Steering Group (IDESG), which was formed in response to the National Strategy for Trusted Identities in Cyberspace (NSTIC).
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Tuesday, December 10, 2019 11:45 AM|Tuesday, December 10, 2019 12:30 PM
Top Trends in CIAM Solution Design

The imperative to streamline operations, unify customer experience and enable digital transformation requires continual improvements to consumer identity and access management systems. Technical professionals designing CIAM solutions must understand key trends, features and evolving vendor offerings.

Wednesday, December 11, 2019 02:00 PM|Wednesday, December 11, 2019 03:30 PM
Workshop: Selecting the Right CIAM Solution

The right customer identity and access management solution is key to providing a great user experience, and securing customer data and privacy. In this workshop we will discuss what factors and features to consider, and which vendors to shortlist when looking for your new CIAM solution.

Thursday, December 12, 2019 10:00 AM|Thursday, December 12, 2019 10:45 AM
Identity Analytics, Machine Learning and AI Are Changing the Game

Our digital environment has become too complex for humans to control system access without the help of smarter analytics. Advancements in identity analytics can help simplify and improve multiple identity and access management activities. Identity analytics, including machine learning, can process vast amounts of data to detect and respond to risks in a more automated and timely fashion. In this session, we will discuss how machine learning can be applied to many IAM use cases .

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