Cloud Summit Solutions Track 2026

Tue, Aug 18, 2026
10:00AM - 2:30PM PDT
English
Shaun McCullough
Solutions Forum

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The cloud industry has progressed at breakneck speed. We began with managed compute and storage, then came along serverless capabilities that changed our relationship with infrastructure management, and today we enter an era of cloud-provided AI services, which give us new tools to iterate without all the headaches of hosting these IT stacks. Each generation of cloud tooling brings new challenges in managing and securing these resources and the data they hold.

Enter the SANS CloudSecNext Summit Solutions Track 2026. This event will provide you with practical solutions to these challenges from some of the world’s leading experts. We will deliver the latest tools, techniques, and procedures for cloud, multicloud, and hybrid environments. You will be able to take this information and immediately get to work improving your cloud security posture.

Why Register?

Expert-led Sessions
Flexible Attendance (Attend live or watch on your own time)
On-Demand Access (Revisit sessions and download presentations at your convenience)
Connect with Industry Leaders
Build Your Professional Network
Earn CPE Credits

Schedule

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Opening Remarks

10:00AM - 10:15AM PDT

Virtual

Presented by

Shaun McCullough

Cloud Security Architect at GitHub

Pending Session Details

10:15AM - 10:45AM PDT

Virtual

When Trusted AI Turns Rogue: Securing Autonomous Agents in the Cloud

AI agents are becoming trusted operators in cloud environments, deploying infrastructure, writing code, managing identities, and executing privileged actions. That trust also creates a new attack surface. Recent research demonstrated how attackers manipulated AI coding agents through prompt injection and social engineering, enabling cloud attack chains without exploiting a software vulnerability. Once compromised, AI agent activity can appear indistinguishable from legitimate automation, making detection significantly more difficult. This session exlores how AI is reshaping cloud threat models and provides a practical framework for securing autonomous agents in cloud environments.

*Sponsored by Trend AI

10:45AM - 11:15AM PDT

Virtual

Presented by

Brent Coonrod

Global Head of AI Strategy and Operational Excellence at TrendAI

Pending Session Details

11:15AM - 11:45AM PDT

Virtual

Pending Session Details

11:45AM - 12:15PM PDT

Virtual

Break

12:15PM - 12:30PM PDT

Virtual

Threat Modeling at the Speed of AI

Traditional threat modeling assumes a system stable enough to diagram, review, and revisit quarterly. AI-assisted development breaks that assumption. Agentic coding tools generate pull requests continuously, not on a human review cadence. CI/CD pipelines increasingly let an agent propose — and sometimes approve — its own changes. Dependency bots auto-merge updates faster than anyone evaluates whether the maintainer, or transitive package graph beneath a version number, has changed. The result is a release velocity that no review process built for human-paced development was designed to handle. You can’t threat model every change at this pace, so the real question becomes which changes are worth the effort. This talk proposes a way to make that call: a threat modeling framework that scales rigor to risk and velocity rather than to the calendar – so the highest-risk changes still get human scrutiny while routine ones can move at machine speed.

*Sponsored by Adobe

12:30PM - 01:00PM PDT

Virtual

Presented by

Christina Galligan

Securing the Autonomous Enterprise: Governance for AI Agents

Autonomous AI agents unlock immense business value by executing complex workflows, but they introduce novel security risks like prompt injections, identity sprawl, and tool misuse. Join our session to explore how you can use built-in security and governance controls to confidently scale AI agents into production without compromising developer velocity. Learn how to establish a zero-trust framework for AI agents, secure agent interactions and tool access, enforce real-time guardrails, and proactively manage risk and discover shadow AI.

*Sponsored by Google

01:00PM - 01:30PM PDT

Virtual

Presented by

Aniket Patankar

Lead Product Manager for AI Security at Google Cloud

AI-APP: Securing the New Attack Surface of AI Applications

AI hasn’t just changed how we build—it’s fundamentally reshaped the attack surface. Today’s AI applications aren’t standalone systems; they are dynamic, interconnected ecosystems spanning models, data pipelines, agents, and cloud infrastructure—creating entirely new paths for risk. In this session, we’ll explore the rise of the AI Application Protection Platform (AI-APP) and why traditional security approaches fall short. Learn how a graph-powered, unified platform brings together visibility, risk analysis, and runtime protection to secure AI end-to-end—from code to cloud to model behavior. Discover how security teams can move beyond fragmented tooling to understand real attack paths, reduce noise, and protect AI at the speed it’s built.

*Sponsored by WIZ

01:30PM - 02:00PM PDT

Virtual

Presented by

Snegha Ramnarayanan

Staff Product GTM Manager at Wiz

Closing Remarks

02:00PM - 02:15PM PDT

Virtual

Presented by

Shaun McCullough

Cloud Security Architect at GitHub

Meet Your Chairperson

Shaun McCullough

Cloud Security Architect at GitHub

Shaun McCullough spent 20+ years at the NSA working in cyber operations as a software engineer and technical director of Blue, Red, and Hunt teams. He is currently a staff level Cloud Security Engineer at GitHub.

SEC536: Adversarial AI - Penetration Testing AI Systems

Cloud Summit Solutions Track 2026

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