Topic: Artificial Intelligence

Seminar Topics

[1 CPE] How to Not Suck at Cybersecurity… in the Age of AI

  Presented by Vincent Romney • Deputy Chief Information Security Officer, Nu Skin & Pharmanex

AI isn’t fixing cybersecurity. It’s accelerating it… for good or bad. In this keynote, Vincent Romney, author of How to Not Suck at Cybersecurity, breaks down why organizations continue to struggle with the same core security problems, and how AI is about to make those problems happen faster, at scale. Blending real-world experience, practical guidance, and a healthy dose of snark, Vincent cuts through the hype around AI to show where it actually helps, where it fails, and where it can quietly create new risks. You’ll leave with a clearer understanding of how to strengthen your fundamentals, use AI without losing control, and avoid the uncomfortable truth: if your security already sucks… AI helps you suck faster.

Vincent Romney is a cybersecurity executive, author, and “snark-fueled” advocate for doing security right. As Deputy CISO at Nu Skin Enterprises, he has spent over two decades designing and leading security programs across cloud, application, and enterprise environments, including building AI governance and threat modeling frameworks in complex global organizations.

A former Air Force cyber warfare specialist, Vincent combines real-world offensive and defensive experience with a practical approach to security leadership. He is the author of How to Not Suck at Cybersecurity, where he breaks down security fundamentals into clear, actionable steps that scale from individuals to enterprise environments. His speaking style blends technical depth, real-world examples, and humor to help audiences cut through hype, focus on what actually matters, and avoid making expensive mistakes.

[1 CPE] The 2026 AI SOC Leadership Report: What Security Leaders Really Want

  Presented by Torq

Torq surveyed 450 SOC leaders globally to find out what AI is actually doing inside the SOC. The findings challenged some assumptions — and confirmed others.

We’ll dig into insights including:

  • Why 97% of security leaders are confident AI can handle triage, but only 35% are using it there
  • What’s behind the trust barrier that 92% of leaders say is holding AI back
  • What 85% of leaders mean when they say they want a “unified platform”
  • Where teams plan to expand AI over the next 12 months — and what’s standing in their way

[1 CPE] 30 Years of Applied AI Learnings: Building Secure Enterprise Architecture

  Presented by Greg Hatch, Sr Vice President, Strategic Growth • Gage Technologies

Moving from AI hype to predictable production value requires an infrastructure designed for performance, accountability, From AI hype to predictable production value requires an infrastructure designed for performance, accountability, manageability, and security. This technical session distills 30 years of applied AI experience into a structural roadmap. Learn how to orchestrate next-generation agentic AI and predictive workflows without compromising enterprise safety, data sovereignty, or network performance.

[1 CPE] 30 Years of Security Assumptions Broke: Rethinking Security Controls in the Age of AI

  Presented by Rob Larsen, Advisor • Silverfort

Frontier AI has quietly retired a three-decade assumption: that defenders have time to react after an attacker moves. Autonomous models now compress full attack chains into minutes, chaining ordinary misconfigurations at machine speed with no hesitation and no fatigue. Detection becomes forensic instead of preventive. Vulnerability management can’t patch fast enough. Periodic access reviews can’t review fast enough.

The answer requires a fundamental shift: from preset admin-time access rules and too-reactive detection to controls placed at the moment it matters most: runtime. Every identity, human, machine, or AI agent, must authenticate to act. That moment is the only control point capable of operating at machine speed, intervening before lateral movement begins.

This session gives security leaders the framework to drive that shift — examining why traditional controls collapse against AI-powered adversaries, what runtime enforcement looks like in practice, and how to elevate identity to a genuine, autonomous enforcement point at the center of a modern security operating model.

[1 CPE] AI Agents Have More Access Than Employees: Discovery, Enforcement, and Audit Evidence

  Presented by Chris Hoesly, Field CTO and Craig Pfister, Vice President, Sales Engineering • BigID & Kiteworks

An AI agent is authenticated once, on a service account with broad read access. Six months later it surfaces one patient’s data in another patient’s file. That failure is ordinary: 64% of organizations running AI in production had an AI-related security incident this year. Most place no limits on what data their agents can reach, and two-thirds of AI use runs through non-corporate accounts on corporate devices. When these breaches are investigated, the failure is rarely the model — it is the access around it. This session covers discovery, classification, per-request enforcement, and the evidence auditors now ask for.

[1 CPE] Will AI Take Your Job? One Year Later: How Accurate were the Predictions?

  Presented by Joe Skeen, Solutions Architect • CompuNet

One year later, let’s look back at the wildest predictions that gripped our industry and see how accurate they actually were. This session cuts through the initial panic to examine what the doomsayers got right, where they missed the mark, and how core business disciplines are transforming on the ground. Built for the operational realities of 2026 and looking ahead into 2027, this presentation delivers a practical playbook to help you stop worrying about the algorithm and start directing it.

[1 CPE] Driving Successful AI Adoption

  Presented by Hunter Helfgott, Data & AI Consultant, & Hayden Busic, Data & AI Product Manager • Cerium Networks

In this session, we’ll cover the critical steps organizations can take to adopt AI successfully this year, including proven strategies, common pitfalls, and practical frameworks to move from experimentation to enterprise-wide implementation. You’ll leave with actionable guidance to align AI initiatives with business goals, build organizational buy-in, and measure ROI in a way that lasts.

AI adoption is about making AI deliver real business outcomes without creating unnecessary risk, rework, or frustration.

What We’ll Cover

  • The state of AI adoption in mid-2026: key trends and challenges teams are facing
  • Lessons learned: what working, what doesn’t, and what to do differently going forward
  • A practical framework for successful AI adoption: from strategy to execution
  • Measuring success: KPIs, governance, and how to prove value over time

[1 CPE] How to Keep AI From Taking Your Job

  Presented by Kate Belvoir • VP, Business Information Officer, Blue Cross of Idaho

Please join us for a unique presentation as Kate Belvoir will peel back the curtain about success stories when it comes to AI. Blue Cross of Idaho is a leader in the health insurance industry, addressing healthcare costs and delivering exceptional customer service through innovative tools and solutions. With 80 years of servicing their customers, the current landscape requires precise practices. Kate will speak on her experience of using AI to increase business efficiency, without sacrificing IT jobs.

Change is inevitable when it comes to technology. However, the headlines of AI replacing humans doesn’t have to be your reality. Kate will share her passion for what the future holds. The balance needed of humans using the current tools will be a focus. You will gain great insight on how to advance yourself and us AI as a tool, not a job killer. Don’t miss the chance to hear from one of Idaho’s leading companies!

Kate Belvoir serves as Vice President, Business Information Officer at Blue Cross of Idaho, where she leads business technology and enterprise transformation initiatives. She brings 28 years of experience with the organization, having begun her career in business operations before transitioning into IT. With deep expertise in aligning business and technology, Kate focuses on simplifying complexity, strengthening vendor partnerships, and delivering solutions that drive meaningful business value. She is passionate about building high-performing, values-driven teams and fostering a culture of collaboration, accountability, and continuous improvement—enabling both people and the organization to thrive.

An Idaho native, Kate is married and the proud parent of two boys. Outside of work, family remains at the center of her life and perspective.

[1 CPE] A Sociopathic 5-Year-Old Has Your Access Token: AuthN/AuthZ for Agentic AI

  Presented by Gil Kirkpatrick, Chief Architect • Semperis

Semperis Chief Product Officer Alex Weinert describes AI agents as “curious, genius, sociopathic 5-year-olds.” He’s right, but while you can supervise one 5-year-old, you can’t supervise thousands of AI agents operating at millisecond speed across every system you own. You don’t supervise them. You childproof the house.

This session explores the access control model agentic AI actually requires, covering workload identity (SPIFFE, WIMSE, and the IETF’s AIMS draft), delegated OAuth (token exchange, actor chains, Rich Authorization Requests, sender-constrained tokens, and the 2026 MCP authorization spec), and dynamic per-action policy evaluation, including why a role is an input to an authorization decision, not the decision itself.

You’ll leave with a reference architecture, a maturity model, and a clear understanding of what’s standardized today and what still has to be built.

[1 CPE] AI-Native Networking: From Reactive IT to Autonomous Operations

  Presented by William Admire, HPE AI for Networking Specialist SE • HPE

Traditional networks were designed for human troubleshooting. As environments scale and expectations rise, reactive operations and manual workflows no longer meet the needs of modern enterprises.

AI-Native Networking represents a fundamental architectural shift — where AI is not layered on top of infrastructure, but built into its foundation. By combining real-time telemetry, cloud-native microservices, and continuously trained models, AI-Native platforms move IT from reactive firefighting to autonomous operations.

The result: measurable improvements in user experience, reduced operational overhead, faster root-cause resolution, and infrastructure that continuously optimizes itself.

This session explores what it truly means to be AI-native, how it differs from legacy “AI-enhanced” approaches, and the business outcomes organizations are achieving by embracing this new model.