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Smarter Scenario Testing: Using AI and Data to Strengthen Resilience

Thursday, September 25 | 1:00 pm - 2:00 pm CDT

The disruptions making headlines today — ransomware attacks, supply chain breakdowns, and cascading third-party failures — are exposing the limits of traditional scenario testing. But with every challenge comes an opportunity: to reimagine how resilience programs are built, are tested, and can be improved.

During this webinar, Fusion’s VP of Continuity Solutions David Halford and Senior Product Marketing Manager Mandy Leavell will explore how innovations in artificial intelligence (AI) and data science are transforming scenario testing into a more powerful tool for resilience. They’ll examine the full testing lifecycle — scenario design, tabletop exercises, gap analysis, and reporting — and highlight where programs often fall short. You’ll see how organizations can leverage AI to automate complex tasks, expand their testing scope, uncover hidden vulnerabilities, and turn reporting into actionable, data-driven insights executives understand and value.

Whether you’re evolving tabletop exercises, strengthening preparedness, or reframing resilience as a measurable business advantage, this session will equip you with practical strategies to test smarter, prepare faster, and prove the value of your program in moments that matter most.

You’ll learn:

  • Why traditional scenario testing struggles to keep up with today’s disruptions
  • How AI and data science expand scenario design, testing, and reporting capabilities
  • Practical steps to reduce bias, overcome resource constraints, and close gaps faster
  • How to shift from reactive exercises to proactive, data-driven resilience strategies
  • Ways Fusion helps organizations transform scenario testing into a strategic advantage

Details

During this webinar, we'll explore how innovations in AI are transforming scenario testing into a more powerful tool for resilience.

Hosted By:

DRI International

Venue
Date:

Thursday, September 25, 2025

Time:

1:00 pm - 2:00 pm CDT