Securing Databricks using Databricks as SIEM showcases our approach on how we leverage Databricks product capabilities to prevent and mitigate security risks for Databricks. It demonstrates how Databricks can serve as a powerful Security Information and Event Management (SIEM) platform, offering advanced capabilities for data collection and threat detection. This session explores data collection from diverse data sources and real-time threat detection.
talk-data.com
Speaker
Yugi Reddy
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Yugi Reddy is a Staff Software Engineer at Databricks, where he leads the implementation of the Security Data LakeHouse - a centralized platform designed to identify and respond to security threats by integrating and analyzing data from diverse sources, including cloud environments, internal products, and third-party vendors. His work focuses on building scalable, reliable systems for threat detection, incident response, and compliance, while driving innovation through the adoption of AI and machine learning use cases. Yugi has previously contributed to the security and technology initiatives at major financial institutions such as Capital One, JPMorgan Chase, American Express, and Wells Fargo.
Bio from: Data + AI Summit 2025
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