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:
About the current state of cybersecurity in Public Sector
How real-time data analytics and AI can help government agencies uncover anomalous behavior patterns and protect against treats
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
Live demo on how to build real-time threat detection pipelines using machine learning
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!