Edmonton Chapter: Real-Time Adaptive Defense: AI, Data, and the Future of Security Platforms

Description

The future of security depends on AI’s ability to power real-time, adaptive threat prevention. This session explores how modern platforms fuse high-quality data, advanced AI/ML, and dynamic policies to stop attacks as they unfold. We’ll also tackle the emerging risks of shadow AI, the need for AI governance, and the disruptive potential of agentic AI systems—AI that can act autonomously in defense or in attack. With real-world examples and lessons from product innovation, we’ll show how organizations can harness AI not only to detect threats faster, but to prevent them before damage is done. 

Speaker: Timor Sherf, Field CTO, North America

Timor Sherf, Field CTO at Cato Networks, has over 20 years of experience developing and architecting cybersecurity and cloud products for enterprises and service providers. With a strong product management background, he has led the creation of large-scale security platforms and now focuses on helping organizations adopt SASE, SSE, and Universal ZTNA - leveraging cloud scale, high-quality data, and advanced AI/ML to deliver adaptive defenses against evolving threats.

5:30 - 6:30pm – Presentation – Q & A

6:30 - 7:00pm – Networking

Hors d’oeuvres & Beverages to be served

Open to: CIOCAN Members & *Qualified Non-Member Guests 

(*Guest qualification: CIO, CISO or Senior IT Level Executive in a Leadership Role)

Thank you to our sponsor