The analyst workflow is changing. Where investigation once meant manually querying across disconnected tools and assembling context from multiple sources, AI is generating investigation summaries, surfacing relevant threat context, and recommending response actions in the time it used to take to open the first ticket. Agentic AI is going further—running investigative steps autonomously, executing playbooks, and escalating only what requires human judgment.

Find out where AI is delivering measurable security impact—and how organizations are turning early experimentation into operational results.

Your security tools are protecting the environment you know about. Attackers are probing the one you don't. Exposed services, weak configurations, unmanaged assets, and forgotten connections can quietly create pathways to compromise long before security teams recognize the danger. Attackers don't need a sophisticated technique when an exposed asset does the work for them.

See where attack surface exposure creates the greatest breach risk—and what it takes to close it before attackers find it first.

Impersonation attacks have entered a new phase. AI is enabling attackers to generate highly personalized executive fraud, supplier impersonation, business email compromise (BEC), and brand spoofing campaigns at unprecedented speed and scale. The result is more successful account takeover, credential theft, financial fraud, and abuse of trusted business relationships.

Join us for a practical 45-minute discussion presented by Proofpoint on how organizations are modernizing their defenses against AI-driven impersonation. Learn how modern impersonation protection combines identity intelligence, trusted relationship analysis, and behavioral detection to identify deception that traditional approaches often miss.

You’ll learn:

• How AI is changing impersonation attacks, from executive fraud and supplier impersonation to BEC and account takeover
• Why traditional defenses alone are no longer enough and what modern impersonation protection looks like
• Practical steps to reduce organizational risk by protecting people, identities, and trusted communications

AI is fundamentally altering the math behind vulnerability exploitation, and most security teams have yet to realize how drastically the scales have tipped. Threat actors are leveraging automation to weaponize vulnerabilities faster than ever, while traditional, manual patching cycles lag.

In this webinar, we quantify the true scale of the problem. We will measure the accelerating velocity between weaponization and remediation, calculate the exact financial toll when attackers breach the perimeter, and map out the operational overhaul required to close the gap.

By analyzing three core pillars Average Window of Exposure (AWE), hyper-prioritization, and autonomous remediation this session reframes how modern security teams must allocate effort, deploy resources, and accelerate response times to survive machine-speed threats.

What You Will Learn:

• The Reality of Compressed Timelines: How weaponization cycles have shrunk from weeks to hours, and what this means for your existing service-level agreements (SLAs).
• The Math of Exposure: How to calculate your actual Average Window of Exposure and map it against real-world asset criticality.
• Moving Beyond CVSS: How to implement true hyper-prioritization to filter out the noise and focus exclusively on high-risk, weaponized vulnerabilities.
• The Autonomous Shift: Where and how to safely deploy autonomous remediation to neutralize threats before human intervention is even possible.
• The Financial Model: A deep dive into calibrating risk models against actual loss data to justify security infrastructure spending to management

Don’t let compliance blind spots jeopardize your mission.

The arrival of frontier AI marks the most profound inflection point in cybersecurity history, allowing adversaries to exploit structural vulnerabilities in minutes rather than days. As the Five Eyes advisory recently warned, organizations have mere months to adapt before facing severe, avoidable risks. Defending infrastructure against these machine-speed attacks requires moving beyond marginal adjustments to adopt autonomous SOC operations, zero-trust architectures, and robust security for human, machine, and agentic identities.

This educational briefing cuts through the noise to deliver an objective breakdown of what this paradigm shift means for daily security operations. Join experts from Palo Alto Networks and CDW as they explore the evolving threat landscape and outline the core architectural frameworks required to safeguard Canadian organizations.

What you’ll learn:

• The new threat landscape: An objective look at the latest AI research, understanding how automated vulnerability discovery works, and why it is accelerating attack timelines beyond human speed.
• Demystifying Frontier AI & Mythos Glasswing: Key lessons from Palo Alto Networks’ latest research—reflecting their role as an original Project Glasswing partner—enriched by front-line threat intelligence and incident response insights from Unit 42.
• The biggest risks today: The most immediate risks created by sophisticated, automated attacks at scale.
• Immediate actions to take: Practical guidance on what Canadian organizations should do now.

Who should attend:

All Canadian cybersecurity professionals, practitioners, and IT employees tasked with defending their organizations.

Register today to learn and equip your Canadian organization with the insights needed for the next era of cyber defense.

AI is embedded across work. Can you see it?

AI adoption isn't happening through controlled rollouts or centralized programs. It's happening everywhere, all at once.

Employees are using AI web apps in the browser. Developers are running coding agents on the endpoint, like Claude Code, and deploying MCP servers and LLMs in the cloud. Your favorite SaaS platforms are now AI-capable, and employees can deploy agents in these environments with the click of a button.

Much of this activity is operating beyond the visibility of security and IT. The result is a widening gap between governance intent and shadow AI reality - and without visibility, control becomes impossible.

What to expect:

• Examine how shadow AI manifests in enterprise environments
• Understand where traditional visibility approaches fall short
• Learn how to map, understand, and begin controlling our AI footprint across users, agents, applications, and workflows

Join us to take the first step toward closing the AI governance gap.

In today’s enterprise, the browser isn’t just a tool—it’s the primary workspace where 85% of the workday happens. Yet, traditional security architectures still treat it as a consumer utility, leaving a massive gap in visibility and control between the network and the end user. Organizations are struggling to balance productivity on unmanaged devices (BYOD) and contractors with the urgent need to protect sensitive data from evasive threats and unregulated AI use.

Join us for an end-to-end look at Prisma Browser, the only SASE-native secure enterprise browser designed to protect every user, on any device, for any app. We will explore how to eliminate the "last-mile" security blind spot and fundamentally transform the primary interface of work into your most powerful enforcement point—including advanced AI DLP and governance to safely enable the era of GenAI.

Every time a client gets breached through a cloud app, it's the MSP who gets the call. Attackers aren't breaking in anymore. They're logging in through gaps that your endpoint, firewall, and MDR tools were never designed to see.

Join our webinar to learn how MSPs are uncovering hidden Microsoft 365 risks, identifying shadow IT, detecting identity threats, and creating new recurring revenue opportunities with WatchGuard CloudDR.

Key highlights include:

• A repeatable pitch for any client running Microsoft 365, Google Workspace, or SaaS apps that starts with real client insights
• A demo showing the power of operating the unified Cloud app security capabilities together as one platform
• Tactics for handling the most common objections, including "we already have Microsoft"
• A land-and-expand playbook that turns a single discovery scan into a recurring managed service

In this webinar, you’ll see how teams can discover AI workloads across AWS accounts, understand what AI systems are actually doing at runtime, enforce policy in real time, and generate continuous governance evidence without slowing engineering teams down. The session focuses on practical operational capabilities for AI systems already running in production.

• How to discover AI assets and exposed APIs across AWS environments
• What runtime AI observability looks like in practice
• How to stop risky AI behavior at the connection level
• Approaches for generating audit-ready AI governance evidence continuously

Endpoint controls fail. Updates don’t apply. Agents stop reporting. Devices drift out of policy.

At the same time, organizations are overwhelmed by volume. Thousands of vulnerabilities, constantly changing endpoint states, and limited visibility make it difficult to determine what actually matters when prioritizing cyber risk.

In this reality, it’s not enough to deploy fixes. Organizations must adopt a more dynamic approach.

In this session, Absolute Security explores how organizations can close the gap between exposure and remediation by combining risk-based prioritization, real-time visibility, and resilient recovery. We ground it in real-world use cases—from automating patch and vulnerability remediation to keep the business running, to self-healing security controls so you can prove compliance on demand—and show how Absolute solves these challenges in practice, including a recorded product demonstration led by Senior Sales Engineer Jon Cassell.

Shadow AI is already inside your network — through employee chatbots, internal RAG apps, and vendor copilots that never went through a security review.

Most security teams have no way to know whether their defenses would catch an attack through these channels. The only way to know is to validate it.

Join us to explore how to treat AI as a first-class attack surface and what a CTEM approach to validation looks like in practice.

You'll learn:

• How to define AI as an attack surface — and how MITRE ATLAS maps it
• What 15 ATLAS scenarios revealed about where enterprise AI defenses actually break
• How to test your defenses against prompt injection, tool poisoning, and agentic attacks
• What continuous validation looks like when AI is in scope

In many security organizations, the "hand-off" is where investigations go to die. When a ticket moves from a SOC Analyst to Incident Response, and finally to Threat Intel, critical context is often lost in translation. To stop an adversary, these teams need a unified view of the world outside their firewall.

Join us for a step-by-step walkthrough of a single ticket’s journey. We will demonstrate how Censys provides the continuous context needed to move a ticket through the pipeline—ensuring that when a team "passes the baton," they are passing actionable intelligence, not just a suspicious IP.

Attackers today aren't waiting around. The moment a vulnerability is discovered, they're scanning for victims within minutes — and once inside a target system, breaches can unfold in under 72 minutes. If your endpoint security is still relying on legacy defenses, you're already behind.

Cortex XDR is built for the speed of today's threat landscape. One lightweight agent replaces a tangle of disconnected tools, giving your team complete visibility across endpoints, network, and cloud — without the complexity or the cost.

Here's what that means for your business:

• Stop more threats, faster. AI-driven prevention blocks fileless attacks, zero -days, and advanced malware before they cause damage.
• Reduce alert volume by up to 99%. Related alerts are grouped into a single incident, so your team sees the full attack story, not a flood of noise.
• Stay protected around the clock. Trusted experts who work alongside your team 24/7 — hunting threats, validating controls, and responding when it matters most.

AI is transforming both innovation and cyberattacks. Attackers are using AI frameworks, LLM APIs, and encrypted channels to bypass traditional defenses. At the same time, SOC teams struggle with too many alerts, blind spots, and fragmented visibility.

In this one-hour session, Fortinet experts demonstrate how FortiNDR Cloud uses advanced AI and ML-driven behavioral analytics to uncover hidden threats within network metadata without relying on signatures or agents.

Join this webinar to discover how to:

• Detect abnormal activity across AI, ML, and API traffic
• Identify hidden threats in encrypted communications
• Understand the behavioral baselines for safe AI usage
• Reduce alert fatigue with AI-driven analytics
• Integrate detection into existing SOC workflows

In this webinar, Truffle Security Solution Architect Jacob Dowdy explores why relying solely on Pull Request (PR) scanning leaves your organization vulnerable to leaked secrets.

By breaking down the standard developer workflow, Jacob illustrates how secrets often live in abandoned branches or exposed commit histories long before a PR is ever opened.

Attendees will learn how to close these security gaps by implementing historical and real-time push scanning to achieve complete coverage across the entire development lifecycle.

In 2025 alone, AI-driven traffic quadrupled. OpenAI crawlers generated 1.7 billion requests in a single month, and one major e-commerce company uncovered more than $5 million in unnecessary infrastructure costs tied to bot activity they didn’t intend to serve.

Most organizations still rely on a simple “allow or block” approach. But in today’s AI landscape, that binary decision model is no longer enough.

In this webinar, Hydrolix  leaders unpack the real revenue, performance and governance implications of AI bots and what it takes to move from reactive defense to strategic control.

You'll learn:

• Why the real question is no longer “is this a bot?” but “what is this bot trying to do?
• How limited visibility leads to expensive mistakes, and how to fix it
• The critical questions every team should be asking about who is crawling their site and why
• What it takes to move from reactive blocking to strategic bot management

Cloud ransomware isn't a matter of if, but when. Are you truly ready?

Join our immersive fireside chat that unpacks a fictional, yet alarmingly realistic, cloud ransomware attack on Horizon Tech. We'll play out the critical moments across 5 distinct scenes – from the first suspicious alert to the agonizing decisions of recovery and in between each scene, we'll feature expert insight and commentary from our team of experts.

What you'll gain:

• Real-world clarity: See exactly how a sophisticated cloud attack progresses.
• Expert guidance: Learn actionable steps for each stage of an incident.
• Pitfall avoidance: Understand common mistakes that prolong downtime and amplify damage.
• Rubrik's perspective: Discover how advanced data resilience can drastically shorten recovery.
• Don't just hear about ransomware. Experience it. Learn how to be truly resilient.

Recent threat intelligence from Google and Microsoft paint a stark picture: threat actors are refining their tactics to specifically target cloud-native backup and recovery systems. In a world where a single compromised credential can unravel your entire infrastructure, relying on infrastructure durability alone is a dangerous gamble.

The traditional playbook for data protection simply wasn't designed for this reality. Join us for this strategic session as we unpack the Cloud Cyber Resilience Maturity Model, a framework designed to help IT leaders assess their true readiness. We will explore why many organizations mistakenly confuse operational uptime with cyber resilience, and why even those with secure, air-gapped backups often face weeks of downtime when disaster strikes.

In this webinar, we will cover:

• The New Threat Landscape: Why preventing a victim's ability to recover is now a primary objective for attackers.
• The Maturity Framework: A detailed walkthrough of the four stages of cloud resilience, moving from basic compliance to fully automated recovery.
• The "Clean Data" Paradox: Why having immutable data isn't enough if you lack the intelligence to distinguish between a safe snapshot and one containing dormant malware.
• From Reactive to Proactive: How to shift your strategy from frantic, manual forensics to predictable, push-button recovery.