Event Registration: How to protect your firm from fraud and cyberthreats with a lakehouse for cybersecurity

Financial services firms are highly susceptible to fraud, compliance breaches, and cyber threats. Besides these conventional dangers, many firms are using AI models like LLMs without fully grasping the risks posed by new AI threats like adversarial machine learning attacks. Unlike traditional SIEMs that are limited in their ability to support a wide range of cybersecurity needs, a lakehouse for cybersecurity offers a unifying architecture that brings all data into a single view — enabling proactive threat detection, faster incident response, and compliance monitoring.

A lakehouse simplifies cybersecurity by providing a unified view of all data to facilitate analytics and AI requirements for threat detection/prevention, fusion-center fraud, and compliance monitoring. All while doing so in the cloud which helps improve cloud cost margins.

Join this webinar to:

Enhance your cybersecurity posture with a unified approach in a lakehouse for cybersecurity
Leverage analytics and AI to gain actionable insights and facilitate real-time threat analysis and incident response
Modernize your cybersecurity architecture while lowering TCO
Augment Splunk for Enterprise Security (ES) for cloud-scale security operations
Hear practical guidance on building a lakehouse for cybersecurity from industry change-makers

Junta Nakai
Databricks
VP

Lipyeow Lim
Databricks
Technical Director, Cybersecurity

Ajish George
State Street
Managing Director, Cyber Data & Analytics

Troy Wilkinson
Interpublic Group
Chief Information Security Officer

Chris Sestito
Hiddenlayer
Co-founder & CEO

9:00 AM - 9:15 AM	Opening Remarks & Keynote: Welcome Attendees
9:15 AM - 10:00 AM	Panel of cybersecurity experts
10:00 AM - 10:15 AM	Demo: Continuous Indicator-of-Compromise (IoC) Monitoring using the Databricks Lakehouse
10:15 AM - 10:30 AM	Closing Remarks and Q&A

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Agenda