The arrival of Anthropic Mythos has fundamentally altered the cyber threat landscape. We have moved from theoretical risk to real-world acceleration, where AI vulnerability discovery is now fully operational. While traditional security cycles of research, disclosure, and patching once took months or years, AI now enables simultaneous discovery paths that rapidly compress the time to exploit.  

This session explores why humans can no longer keep up with this machine speed of autonomous discovery and exploitation. With vulnerability volumes predicted to increase by 2x to 10x, and the National Vulnerability Database (NVD) under significant pressure to prioritize only known exploited vulnerabilities, the public signals organizations rely on are falling further behind.    

Attendees will learn a new architectural model for defense. By shifting control to the start of the software supply chain—at the point of component selection—organizations can block risky or malicious components before they ever enter the build.

News headlines show you the breaches at massive corporations, but it’s everyday organizations that face the most threats. Adversaries prey on the human psyche and use AI to advance their tactics and target the companies that keep our communities running. For these companies, a ransomware or BEC attack isn’t just a stressful event—it’s the reason they can’t make payroll.

This session explores how hackers plan to win, and why you don’t need a massive budget to fight back.  We’ll get into how Huntress brings cyber resilience through a powerful combo of purpose-built technology and human SOC expertise to stop threats before they cause damage—because organizations of ALL sizes deserve a fighting chance against attackers.

AI is accelerating how vulnerabilities are created, discovered, and exploited—shrinking the window to respond. Many teams are asking the same question: how do we operate in a world where vulnerabilities can be exploited faster than ever?  In this session, we’ll walk through a practical framework to respond—focused on reducing exposure, fixing risk faster, and continuously validating what matters.  

You’ll learn how to: Reduce exposure by focusing on what is actually reachable and exploitable Fix critical risks faster as the time between discovery and exploitation shrinks Use context across code, cloud, and runtime to prioritize what matters Operate this as a continuous workflow that keeps pace with evolving risk

By 2028, Gartner predicts that 15% of daily business decisions will be made autonomously by AI agents — creating new risk surfaces with direct operational impact. CIOs must extend resilience practices to agentic AI by quantifying agent risk, capturing and monitoring agent activity, and preparing recovery playbooks that reverse unauthorized or harmful agent actions. This holistic approach ensures workflows remain intact, data integrity is preserved, and business continuity is upheld—even when AI agents misstep.

Join this session to learn:

 How to set resilience standards for AI agents to align with enterprise risk

 Proven strategies for detecting and containing rogue or unintended AI behavior

 Playbooks for rapid rollback and business continuity when AI disrupts workflows

Abstract
AI and new digital technologies will continue to shift the cybersecurity landscape in 2026. This session explores how modern tools can enhance detection, response, and decision making while introducing new risks tied to generative systems, data integrity, and fast moving threat innovation. Leaders will gain a clear view of how to adopt emerging technology in a responsible and strategic way that supports resilience and aligns with enterprise risk goals.

Key Takeaways
• How AI and emerging tech are reshaping core security functions
• The new risks created by generative models and evolving attack techniques
• Practical governance steps that support responsible AI use
• Examples of organizations pairing innovation with disciplined risk management

Security and IT teams are drowning in endless alerts and chasing signals that rarely translate into actionable defense. Meanwhile, attackers have their sights set on the one asset most organizations overlook - backups.  In this session, see how Druva, a simplified next-gen Cyber Resilience solution, leverages DruAI and AI Agents to turn backups from passive insurance into an active layer of cyber defense, providing real-time threat intel and guaranteeing recovery when the need arises.  You’ll leave with: How to use conversational AI with natural language to  query backup intelligence and jump-start investigations Practical ways DruAI Agents automate hardening and recovery readiness Using Druva MetaGraph to add rich context to alerts across SecOps tools Detecting ransomware behaviors via ML anomalies (not static rules)  Pushing backup telemetry into SIEM/XDR for faster correlation and response

AI agents are rapidly moving from experimentation into real enterprise workflows. They are being deployed across developer environments, cloud platforms, and SaaS applications, often with access to APIs, enterprise systems, sensitive data, and autonomous workflows. As adoption accelerates, enterprises face two growing challenges: discovering where these agents exist and securing their behavior at runtime. In this session, Sudhir Patamsetti explores how organizations can build visibility across distributed AI agents by collecting telemetry, understanding execution flows, and mapping interactions between agents, models, tools, data, and other systems.

The session also examines why risk increasingly shows up during runtime interactions and how enterprises can apply enforcement across critical execution points using approaches such as runtime webhooks, in code checks, AI gateways, MCP proxies, and agent lifecycle hooks. Attendees will leave with a practical framework for discovering AI agents, understanding their behavior, and securing runtime interactions across modern enterprise environments.

As adversaries increasingly leverage AI to accelerate and scale attacks, security teams face mounting pressure to respond faster—often without the time, talent, or resources to operationalize advanced AI themselves. While agentic AI promises transformational gains for security operations, most organizations struggle to realize value due to complexity, cost, and risk. In this presentation, we introduce the Arctic Wolf Aurora® Agentic SOC, a turnkey, fully operational agentic security operations model delivered through Arctic Wolf’s proven Concierge Experience™. Built on the Aurora Superintelligence Platform, the Agentic SOC places AI at the core of investigations—using specialized, purpose-built agents to perform triage, investigation, response, and validation at machine speed—while keeping human experts in the loop where judgment, context, and accountability matter most.

Joining a women's cybersecurity non-profit such as Women in CyberSecurity (WiCyS), is often cited as one of the most effective ways to accelerate a career in the field. Learn more from these panelists, discussing their career journeys, gaining insights to challenges, and how joining an organization such as WiCyS or an Affiliate can be beneficial, as the cybersecurity landscape grows increasingly complex.

The cybersecurity industry is captivated by the spectacle of artificial intelligence - weaponized AI, machine-generated zero-day exploits, and autonomous attacks that outpace human defenders. Yet while we fixate on what AI might do, we continue to leave the front door wide open to vulnerabilities that have existed for decades.

Attackers are no longer triggering alerts; they’re hiding in plain sight. This session shows how deception technology transforms attacker behavior into high-confidence detection signals. Learn how integrating deception into an Open Active XDR platform improves visibility, reduces noise, and enables faster, smarter response to real threats across modern enterprise environments.

As threats have evolved so too has the approach to Modern Identity Security. A Privilege-Centric approach must be adopted and considered with this evolution. Identity and user management for all accounts within an organization must mature to meet the demands of the cloud, nonhuman identities, Agentic AI and modern attack vectors. Your PAM strategy must now manage and mitigate not only traditional privileged access (root and admin) but also attacks against identities with a path to privileged access. These paths to privilege still remain one of the most valuable targets for cybercriminals because many organizations are defending their environments with fragmented or siloed security strategies and solutions. Security gaps and risks lie in endpoints, cloud environments, Saas Applications, third-party access and now Agentic AI and NHI which make the battleground even harder to defend. Identity Security builds on the foundation of defense-in-depth, coupling visibility with least privilege and Zero Trust while addressing critical risks with priority and exposing less-than critical risks for awareness. Leverage a strategy that works, improves compliance, helps meet cyber insurance mandates, enhances security posture, while giving you the visibility needed to protect your environment.