Revolutionizing IAM Architecture with Machine Learning

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Presented by

Peter Draper, Technical Director - EMEA, Gurucul

About this talk

To implement a risk-based approach to Identity and Access Management (IAM) you need advanced identity analytics powered by Machine Learning (ML). Best practices across the industry have proven that ML based identity analytics delivers significant improvements to IAM architecture and program management. Identity Analytics delivers the data science that improves IAM and Privileged Access Management (PAM), enriching existing identity management investments and accelerating deployments. Identity Analytics surpasses human capabilities by leveraging ML models to define, review and confirm accounts and entitlements for access. It uses dynamic risk scores and advanced analytics data as key indicators for provisioning, de-provisioning, authentication, and PAM. Attend this webinar to understand: • How machine learning improves IAM • How Identity Analytics reduces the attack surface by radically reducing accounts and entitlements • Top Identity Analytics use cases: Access Management, IAM, Identity Governance and Administration (IGA)
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Gurucul is a security analytics company founded in data science that delivers radical clarity about cyber risk. Our REVEAL platform analyzes enterprise data at scale using machine learning and artificial intelligence. Instead of useless alerts, you get real-time, actionable information about true threats and their associated risk. The platform is open, flexible, cloud native and cost optimized. Organizations can save 50% or more while achieving complete data control, visibility, searchability, and analytics within a single console. Industry analysts have recognized our platform as a Visionary in the 2024 Gartner(R) Market Quadrant(TM) for SIEM for the third-consecutive year. Our solutions are used by Global 1000 enterprises and government agencies to minimize their cybersecurity risk. To learn more, visit Gurucul.com and follow us on LinkedIn and Twitter.