Is This Event Really Free?

Yes! Winter Cyber Solutions Fest is completely free to attend—no hidden fees or commitments.

What If I Can’t Attend Live?

No worries. All sessions are recorded, and registrants get recording access to watch at their convenience and still earn CPE credits.

Who Should Attend This Event?

Cybersecurity professionals across all experience levels—whether you’re a SOC analyst, security engineer, cloud architect, or executive leader—will find valuable insights and practical takeaways.

Will I Earn CPE Credits For Attending?

Yes. You’ll earn CPE credits for both live and recorded session participation. Be sure to register with your correct email to receive credit.

How Do I Register For Multiple Tracks?

Each track has its own registration page. Simply click “Register” under each track you’re interested in to gain access to that track’s sessions and materials.

Will Presentation Slides Be Shared?

Yes, presentation slides will be available to all registrants alongside the session recordings.

Can I Share This Event With My Team?

Absolutely. The more, the merrier. This event is perfect for security teams to attend together, discuss learnings, and apply insights to their org’s strategy.

2026 Winter Cyber Solutions Fest

Free Global Virtual Event | February 11-12, 2026 | The SANS Cyber Solutions Fest brings together cybersecurity professionals worldwide for expert-led sessions, actionable insights, and hands-on demos across critical security tracks, including finance, banking, healthcare, utilities and critical infrastructure. Designed for both practitioners advancing their careers and senior leaders shaping their organization’s security strategy. Recordings and presentation slides will be available on each track’s registration page.

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Explore Our Tracks

Click on each tile to view details and register today.

Finance/Banking

- February 11, 2026

Healthcare

- February 11, 2026 - Chair: Chris Edmundson

Utilities and Critical Infrastructure

- February 12, 2026 - Chair: Dean Parsons

SEC595: Applied Data Science and AI/Machine Learning for Cybersecurity Professionals