Harnessing the security in Agentic AI Era

Building Secure Agentic AI Systems

Sponsored By

IriusRisk

ThreatModeler

From MCP and Context Windows to Agent Autonomy. Explore the emerging security challenges shaping the future of AI.

​Event Overview

Artificial Intelligence is rapidly evolving from assistants that respond to prompts into autonomous agents capable of reasoning, planning, and interacting with multiple systems.

As organizations adopt Agentic AI, the security landscape is changing just as quickly.

Modern AI applications introduce entirely new attack surfaces through Context Windows, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), tool execution, and autonomous decision-making. Securing these systems requires more than traditional application security. It requires rethinking how we design, integrate, and continuously assess AI-powered applications.

Join Threat Modeling Connect (TMC) Toronto Chapter for an evening of practical discussions exploring the evolving world of Agentic AI security and modern threat modeling.

Whether you're already working with AI or just beginning to explore its security implications, this event is designed to provide practical insights, real-world scenarios, and meaningful conversations with the cybersecurity community.

Speakers

Arshad Muhammad

Lead Security Architect at Manulife

Talk: ​"Securing Agentic AI Architecture"

Surinder S. Rait

Head of Global IT Security Assurance at Ericsson

Talk: "Why Static Threat Models No Longer Match Modern Systems"

​Session 1

Speaker: Arshad Muhammad

Securing Agentic AI requires more than protecting individual models. It also requires securing the interactions between AI agents, tools, protocols, and external systems.

This session explores:

Context Window security

Model Context Protocol (MCP)

RAG integration risks

Secure tool execution

Interoperability between Agentic AI components

Practical mitigation strategies

​Session 2

​Speaker: Surinder S. Rait

Modern software ecosystems are evolving faster than ever through cloud-native architectures, APIs, AI integrations, microservices, and continuous delivery. Yet many organizations still rely on static threat models that quickly become outdated.

In this session, you'll learn:

Why traditional threat models struggle to keep pace

Common challenges organizations face today

Emerging industry trends

Practical approaches for making threat modeling more adaptive

Key considerations for architects, security practitioners, and engineering leaders

​Interactive Quiz

Wrap up the evening with a fun Slido Quiz and test your AI security knowledge.

Five winners will receive a complimentary copy of Principle of Building AI Agents.

​Agenda

5:30 PM - Doors Open

6:05 PM - Welcome Note

6:20 PM - Session 1: Securing Agentic AI Architecture

6:50 PM - Session 2: Why Static Threat Models No Longer Match Modern Systems

7:20 PM - Interactive Slido Quiz

7:40 PM - Closing Remarks

7:45 PM - 8:30 PM - Networking & Refreshments

Join the Conversation

The future of AI security is being shaped today. Whether you're designing secure AI systems, modernizing your threat modeling practices, exploring the intersection of AI and cybersecurity, or simply eager to learn from experienced practitioners, we'd love to have you join us.

Register today and be part of an evening of learning, discussion, and networking with Toronto's cybersecurity community.

​Venue

Highline Beta

372 Bay St., Suite 200

Toronto, ON M5H 4B2