Join this session to discuss the process of building fundamental cyber and fraud detection capabilities using advanced data analytics platforms. As cybersecurity threats and fraudulent activities become increasingly sophisticated, it is essential for organizations to establish strong foundational security and anti-fraud measures. Fraud in government benefits remains a critical issue, costing billions of dollars annually and impacting countless lives. This session will explore how data analytics platforms can be utilized to detect fraud, particularly within the context of government and educational benefits. By leveraging robust analytics and machine learning capabilities, organizations can uncover suspicious patterns and anomalies that signal fraudulent activities. The discussion will focus on addressing cybersecurity and fraud challenges effectively through the practical application of analytics tools, including correlation techniques, intuitive dashboards, and real-time alerts. Attendees will learn how to harness these capabilities to identify anomalies, prevent breaches, and respond swiftly to incidents. The session will showcase real-world examples and case studies to illustrate the transformation of raw data into actionable intelligence, demonstrating the seamless integration of these platforms with other applications and data sources. Participants will also gain insights into best practices for configuring data analytics environments tailored to their organization’s unique needs, enabling continuous monitoring and proactive threat detection. Join us to discover how actionable intelligence can revolutionize your approach to cybersecurity and fraud prevention. Learn advanced fraud detection techniques Understand the intricacies between fraud and cybersecurity Comprehensive understanding of business risk management and how to contribute to it positively