Revolutionizing IAM Architecture with Machine Learning

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 transforming enterprise security with user behavior based machine learning and predictive analytics. Using identity to monitor for threats, Gurucul provides Actionable Risk Intelligence™ to protect against targeted and under-the-radar attacks. Gurucul is able to proactively detect, prevent, and deter advanced insider threats, fraud and external threats to system accounts and devices using self-learning, behavioral anomaly detection algorithms. Gurucul is backed by an advisory board comprised of Fortune 500 CISOs, and world renowned-experts in government intelligence and cyber security. The company was founded by seasoned entrepreneurs with a proven track record of introducing industry changing enterprise security solutions. Our mission is to help organizations protect their intellectual property, regulated information, and brand reputation from insider threats and sophisticated external intrusions.