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Art Gallery of Ontario, 317 Dundas St W, Toronto, ON M5T 1G4, Canada

Where to find us

Why attend?

Today's security leaders face three critical questions:

The AI Security Symposium is designed to answer those questions through expert insights, peer discussion, and real-world customer experiences.

Attendees will leave with practical strategies to strengthen AI governance, improve visibility across their environments, and build a security foundation capable of supporting innovation at machine speed.

How do we secure AI workloads without slowing innovation?

How do we reduce security complexity while improving visibility?

How do we create a unified approach to security operations across the enterprise?

Who you'll hear from

Agenda

12:15PM

1:15PM

1:45PM

2:20PM

2:35PM

3:15PM

4:00PM

Arrivals, lunch & Networking (1 hour)

AWS keynote – Dan Stark (30 minutes)

Partner + Customer session (35 minutes)

Break (15 minutes)

AWS Technical Session (40 minutes)

Visionary Panel: AWS + Partners (45 minutes)

Happy Hour & Networking (1.5 hours)

Defending the Enterprise at Machine Speed

AI is already reshaping the enterprise.

It's making decisions, accessing systems, generating code, interacting with customers, and influencing business outcomes. The challenge for security leaders is no longer whether AI will be adopted. It's whether security can evolve quickly enough to maintain visibility, governance, and control.

As organizations race to deploy AI, security teams face a new reality. AI workloads are dynamic, distributed, and increasingly autonomous. The same systems driving innovation are also creating new security challenges, from fragmented visibility and operational 
silos to growing pressure on teams tasked with managing risk across increasingly 
complex environments.

Traditional security approaches were never designed for systems that learn, reason, and act independently. Layering additional point solutions onto an already fragmented security stack often creates more noise, more complexity, and less clarity at the very moment organizations need a unified view of security.

So, how do you secure AI at machine speed without slowing innovation down?

Join AWS and partners, alongside an exclusive group of security leaders, practitioners, and innovators at the AI Security Symposium. This invitation-only event will unpack how organizations are approaching AI security through a more unified operating model, bringing together AWS native security services and the AWS Security Hub ecosystem to improve visibility, streamline operations, and strengthen security outcomes.

Paul Frederiksen

GLOBAL HYPERSCALER PARTNER TECHNICAL LEADER

What we'll explore

Why traditional security models struggle to keep pace with AI

The visibility gap no security leader can afford

Security at machine speed through unified operations

The role of AWS native security services in securing AI workloads

Reducing complexity across fragmented security environments

Extending visibility and response through AWS Security Hub

What a unified AI security strategy looks like in practice

Thursday, November 12 2026 | 12:15 - 5:30PM

AGO, Toronto

Andrew Joseph

VICE PRESIDENT OF SALES

Dan Stark

MANAGING DIRECTOR OF AWS CANADA

AI is already reshaping the enterprise.

It's making decisions, accessing systems, generating code, interacting with customers, and influencing business outcomes. The challenge for security leaders is no longer whether AI will be adopted. It's whether security can evolve quickly enough to maintain visibility, governance, and control.

As organizations race to deploy AI, security teams face a new reality. AI workloads are dynamic, distributed, and increasingly autonomous. The same systems driving innovation are also creating new security challenges, from fragmented visibility and operational 
silos to growing pressure on teams tasked with managing risk across increasingly 
complex environments.

Traditional security approaches were never designed for systems that learn, reason, and act independently. Layering additional point solutions onto an already fragmented security stack often creates more noise, more complexity, and less clarity at the very moment organizations need a unified view of security.

So, how do you secure AI at machine speed without slowing innovation down?

Join AWS and partners, alongside an exclusive group of security leaders, practitioners, and innovators at the AI Security Symposium. This invitation-only event will unpack how organizations are approaching AI security through a more unified operating model, bringing together AWS native security services and the AWS Security Hub ecosystem to improve visibility, streamline operations, and strengthen security outcomes.

Why traditional security models struggle to 
keep pace with AI

The visibility gap no security leader can afford

Security at machine speed through 
unified operations

The role of AWS native security services in securing AI workloads

Reducing complexity across fragmented 
security environments

Extending visibility and response through 
AWS Security Hub

What a unified AI security strategy looks like 
in practice

Richard Bird

PRINCIPAL AI & IDENTITY OFFICER