National Cybersecurity Voices Headline SBS CyberSecurity’s First Converge Cyber + AI Conference

2026-06-25 · Source: The AI Journal · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy, AI Governance & Risk Management · Depth: Intermediate, short

Summary

SBS CyberSecurity will host its inaugural Converge Cyber + AI Conference on October 6–7, 2026, in Omaha, Nebraska, addressing the rapid deployment of AI without adequate governance. The two-day event features 23 sessions across governance, technical, and AI tracks, targeting security teams, executives, and GRC leaders in financial institutions and other regulated organizations. Headlined by KnowBe4 CISO advisor Erich Kron and social-engineering expert Brian Brushwood, the conference emphasizes interactive learning through workshops, AI labs, a live capture-the-flag tournament, and a lockpick village. Additional speakers include former FDIC executive Michael Benardo, Commercial Bank of Texas CIO Tim Leonard, and SBS CEO Chad Knutson, covering topics like cyber governance, human risk, executive incident response, deepfake fraud, and AI governance that fosters innovation. Passes are \$599, aiming to equip attendees with practical knowledge for secure AI implementation.

Key takeaway

For security teams and GRC leaders in regulated sectors transitioning to secure AI implementation, attending the Converge Cyber + AI Conference provides crucial, hands-on guidance. You will gain practical strategies for establishing defensible AI governance frameworks and addressing human-centric security challenges. This event helps you align AI initiatives with evolving examiner expectations and mitigate risks like deepfake fraud, ensuring secure and compliant AI adoption.

Key insights

Secure AI implementation requires bridging governance gaps in rapidly evolving regulated environments.

Principles

• AI governance should enable innovation.
• Human risk is central to security.
• Interactive learning drives application.

In practice

• Participate in AI labs and CTF.
• Explore physical security concepts.
• Understand AI examiner expectations.

Topics

• AI Governance
• Cybersecurity
• Financial Sector AI
• Social Engineering
• Deepfake Fraud
• GRC

Best for: AI Security Engineer, Director of AI/ML, Legal Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by The AI Journal.