The Proactive Playbook: Mastering Fraud Prevention in Financial Services
This event qualifies for 1 CPEs
The landscape of financial fraud is evolving at an unprecedented pace, demanding proactive and sophisticated strategies to safeguard your institution, clients, and capital. In this dynamic webinar, we'll go beyond the scam to explore the proactive playbook for unmasking deceit in the digital age.
We'll delve into the transformative power of AI – encompassing machine learning, deep learning, generative AI, and automation – as your essential financial shield against evolving threats. Discover how machine learning, in particular, can revolutionize your approach by providing unparalleled insights into human behavior online. This session will reveal how these advanced capabilities allow you to not only measure but also manage human behavior online, giving you the unprecedented ability to apply your firm's specific appetite for risk to data, effectively filtering out unwanted behavior before it impacts your bottom line.
During this webinar, attendees will learn:
- Data visualization for fraud intelligence
- Optimizing fraud detection processes for efficiency
- A holistic approach to fraud prevention
Join us and learn how to stay ahead of the swindlers, build a robust defense, and future-proof your finances in an increasingly complex environment. This isn't just about preventing losses; it's about securing trust and ensuring sustainable growth. Don't miss this opportunity to gain critical knowledge and actionable strategies.
Speaker and Presenter Information
Matthew Joseff, Director - Security Specialization, Splunk
Christian Crisan, Splunk Industry Advisor - Financial Services, Splunk
Relevant Government Agencies
Other Federal Agencies, Federal Government, State & Local Government
Event Type
Webcast
This event has no exhibitor/sponsor opportunities
When
Thu, Jul 17, 2025, 11:00am - 12:00pm
ET
Cost
Complimentary: $ 0.00
Website
Click here to visit event website
Event Sponsors
Organizer
Splunk Government Team at Carahsoft