AI Techniques for managing Identity and Access Management to Manage CyberRisk with BNY Mellon

Raghu Dev, Director, Identity and Access Management, BNY Mellon

1. IAM cyber risk with use cases from financial services. 2. Use of existing tools to derive immediate value by implementing these simple techniques. 3. Plan for sophisticated techniques Traditional enterprise IAM solutions still largely follow the siloed approach, with different departments and teams responsible for managing individual IT systems. Increasing complexity of IAM systems, especially for the large, geographically distributed companies this can also substantially reduce other employee’s business productivity. Radical new approaches are urgently necessary to uncover and mitigate authentication and authorization related security incidents. Next-generation IAM systems should be capable of utilizing continuous learning and reasoning to support humans in their decision-making and help them perform their tasks effectively. Applications of AI technologies to cyber-security and IAM are the ONLY solution. Presentation will focus on technologies to solve the problem at hand and drivers that support this disruptive thinking and its absolute necessity. Expand on the simple techniques first to derive immediate value and then to use more sophisticated techniques. Moreover, he will talk about the challenges and solutions inherent in making a cognitive solution work in practice.

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