Enhance the power of your security team with Generative AI
Join us in Zurich on December 3rd for an exclusive event focused on how AI-driven solutions can revolutionize your security strategy. With 81% of security leaders agreeing that staying ahead of attackers is a constant challenge—and recognizing that the associated costs are increasingly unsustainable—AI-driven solutions are emerging as a transformative approach to cybersecurity.
Could AI be the key to reshaping security operations, and what practical, actionable use cases should security teams focus on first?
Why attend?
Join us to learn how to integrate AI into your security strategy - from enhancing threat detection to building a more resilient security posture. Connect with security experts from Avanade, Tanium, and Microsoft to discover:
- Expert Insights: Discover the key benefits and limitations of Generative AI in cybersecurity.
- Real-World Applications: See how tools like Microsoft Security Copilot empower threat detection through a live demo and client examples.
- Practical Strategies: Learn actionable steps to design a resilient security strategy.
- Interactive Q&A: Engage with experts and get your pressing questions answered live.
Event Agenda:
- 09:00 - 09:30 – Welcome, registration & coffee
- 09:30 - 10:00 – Outpace adversaries with Copilot for Security
- 10:00 - 10:30 – Empowering Microsoft solutions with real-time data
- 10:30 - 10:45 – Coffee break
- 10:45 - 11:30 – Driving process & team productivity with the power of Generative AI & Joint Risk assessment
- 11:30 - 12:15 – Panel Discussion: GenAI in Security: Hype or Trend?
- 12:15 – Networking Lunch
Space is limited, so register now to secure your place at this exclusive event in Zurich.
We look forward to seeing you in Zurich!
Event details
WHEN
3 December 2024
TIME
9:00 - 14:00 CET
WHERE
Microsoft Office, The Circle 02, 8058 Zurich-Airport
Speakers

David Adde
Security Lead,
Avanade Europe

Zac Warren
Chief Security
Advisor,
Tanium

Jad Karaki
Global Black Belt Security Copilot,
Microsoft