Since 2013, cybercriminals have stolen over 14.7B digital records from organizations across industry. Government agencies are no exception with criminals and nation states launching a constant barrage of cyberattacks. Responding quickly to threats is critical to avoiding a breach. To do this successfully, government organizations need to monitor and analyze billions of data signals in real-time and perform ad-hoc analysis over large time windows of historical data. Yet, existing security tools are struggling to keep up. Overcoming these challenges requires a new approach to threat detection rooted in big data, analytics and AI.
Join this free technical breakfast seminar to network with your peers, learn about the latest trends in data-driven cybersecurity and hear how one of the world’s largest tech companies is using Databricks, the cloud and open-source big data technologies like Apache Spark™ and Delta Lake to scale threat detection and prevent attacks in real-time.
In this workshop you will learn:
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About the current state of cybersecurity in Public Sector
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How real-time data analytics and AI can help government agencies uncover anomalous behavior patterns and protect against treats
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How one of the world’s largest tech companies uses Apache Spark, Delta Lake and other open-source tools to enable threat detection at petabyte-scale
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Live demo on how to build real-time threat detection pipelines using machine learning
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How to reduce data ingress and retention costs with a new approach to threat monitoring
AGENDA AT A GLANCE
8:00-8:30 - Registration, Breakfast & Networking
8:30-9:15 - State of Cybersecurity in Public Sector and the Role of Big Data and AI
9:15-10:15 - Guest Speaker: How one of the world’s largest tech companies scales threat
detection with open-source data and machine learning technologies
10:15-10:30 - Break
10:30-11:30 - Technical Discussions, Live Demos and Q&A
11:30-12:00 - Networking with Peers
Space is limited for this event. Sign up today to request your spot!