Sessions

Explore the Universe 2025 on demand catalog. Filter by topic, audience, industry, format, or experience level.

Breakout session (40 minutes)

A focused presentation designed to inform and inspire the audience. These sessions typically feature a single speaker or co-presenters sharing expertise, insights, and practical takeaways. While this session type is primarily in a presentation format, audience engagement through Q&A, polls, and/or brief interactions is encouraged to enrich the experience.

Panel discussion (40 minutes)

A moderated session where a diverse group of experts debate or discuss fresh, timely, and thought-provoking topics shaping the industry. Panels should showcase a range of perspectives and experiences, challenging conventional wisdom and sparking new ideas. To ensure audience value, a significant portion of the session will be dedicated to Q&A and interactive engagement.

Fireside chat (40 minutes)

While similar to a panel discussion, this is a conversation between a moderator and one speaker rather than a group of experts.

Product demo (15 minutes)

A presentation focused on tips, tricks, and best practices for working in a specific product.

Discussions lounge (60 minutes)

A highly interactive gathering where two to three facilitators guides a group of 50+ attendees through dynamic small-group conversations on a specific topic of interest. Prioritizing active participation and collaboration, these discussion-driven sessions do not include slide presentations.

Sandbox session (60 mins)

This session combines both a demo-style and workshop format with practical exercises. Facilitators will demonstrate live the fundamental concepts, tools, or techniques they used to solve a specific challenge in the software development landscape. This will be followed by an opportunity for participants to actively engage in interactive exercises similar to the ones demonstrated to solidify their understanding.

Workshop (90 minutes)

Similar to a sandbox session (but without the demo portion), this session type focuses entirely on interactive exercises for a deeper, more immersive learning experience. This is your traditional workshop format, where facilitators guide attendees step-by-step through targeted activities. Participants will actively engage with the material, gaining practical insights and applying concepts in a collaborative setting tailored to enhance their understanding and skills. Note: Workshops require an additional fee of $99, which you can add to your registration in the Attendee Portal.

Level 100 – Introductory

Designed for those new to the topic, these sessions focus on foundational knowledge, covering basic concepts, features, and benefits. No prior expertise is assumed.

Level 200 – Intermediate

Best suited for attendees with a working understanding of the topic. These sessions explore real-world applications, technical details, and best practices.

Level 300 – Advanced

Intended for experienced practitioners, these sessions dive deep into complex, real-world challenges, advanced techniques, and expert-level insights.

In-person

Join us live at Universe for the full interactive experience with speakers and fellow attendees.

Recorded

Catch this session on-demand after the event—perfect for revisiting key insights or sharing with your team.

Livestream

Watch live from anywhere, then access the recording later. Get the real-time experience remotely.

On-demand

Available to watch anytime after Universe. Dive in when it fits your schedule.

AI summary

New this year: Get instant key takeaways with an AI-generated summary available shortly after the session ends.

Browse 2025 Sessions

11 sessions

10:00 am PDT - Oct 28

Breakout Session
Build
Automate
Level 200: Intermediate
Financial Services
Government
Healthcare, Pharmaceuticals & Biotech
Retail
Software & Internet
Telecommunications
Actions
GitHub Advanced Security
Codespaces
GitHub Copilot
Dependabot
GitHub Secret Protection
GitHub Code Security
GitHub Copilot Workspace
VS Code
GitHub Spark
Projects and Issues
Enterprise - Engineering Leadership
Enterprise - Developer
Security Leadership
In-person
AI summary
AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
Cloud-native development
Tech debt and security debt
Code quality, review, and completion
Governance and compliance
Understand how AI agents integrate securely within enterprise SDLC processes
Discover practical methods for rapidly prototyping and planning with AI-powered tools
See how these tools collaborate in real-world scenarios to streamline development tasks
Automate and scale with confidence
What's new from GitHub?
Agentic AI + Model Context Protocol (MCP)
Financial Services
Manufacturing
Healthcare & Life Sciences
https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.png
All Approved and Published Sessions
https://docs.github.com/en/enterprise-cloud@latest/copilot/concepts/agents/coding-agent/about-coding-agent?utm_source=universe-web-page-docs-ent-coding-agent&utm_medium=web&utm_campaign=universe25post
Tuesday, Oct 28
10:00 a.m. Tuesday, Oct 28
Dawn of the agents: Leveraging AI-powered tools to accelerate software development
Build In-person
What if your team had extra help tackling the busywork of software development? What does the next wave of building software in the enterprise really look like? In this fast paced session, we’ll explore how AI-powered agents are transforming the development journey, from brainstorming to deployment, and even how we tackle code quality. We’ll look at the evolution ahead, what to expect over the next 12, 24, and 36 months, and share real world demos showing agents co-creating code, reviewing pull request, fixing bugs, and more. All while staying inside the guardrails that matter to your business. You’ll leave with a clear picture of how AI can help developers focus on what they do best: creative, impactful work — and what “good” looks like for enterprise software development in the years to come. Oh, and yes, there’ll be a few surprises and swag hand outs along the way!!
, Sr. Director, Product Leads, GitHub
, VP, Product Management, GitHub
See Details
Track: Build, Automate
Delivery Format: In-person, AI summary
Sandbox Session
Secure
Level 300: Advanced
Financial Services
Applicable to All
Actions
GitHub Advanced Security
GitHub Copilot
GitHub Code Security
GitHub Enterprise Cloud
GitHub Enterprise Server
VS Code
Enterprise - Engineering Leadership
Security Professional
Security Leadership
In-person
AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
Security (RASP, supply chain, threat modeling, vulnerability detection)
Tech debt and security debt
Governance and compliance
Learn how GitHub Copilot and CodeQL can help your enterprise proactively identify, inventory, and remediate insecure cryptography at scale without disrupting developer workflows
Gain interactive experience using GitHub Copilot, CodeQL, and multi-repo variant analysis to detect and fix cryptographic vulnerabilities across large, complex enterprises and codebases.
Discover how post-quantum cryptography preparation can be embedded into existing workflows, helping your organization meet future cryptographic compliance without slowing teams down.
Secure every commit
Security professionals
Financial Services
https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-secure-large_1755504861206001HzrL.png
All Approved and Published Sessions
Tuesday, Oct 28
10:00 a.m. Tuesday, Oct 28
When Q-day strikes: Securing cryptography at scale with CodeQL and GitHub Copilot
Secure In-person
Q-Day - the day quantum computers can break classic cryptography - is quickly approaching. In this session, we'll walk through that Y2K-like scenario, showing how CodeQL and GitHub Copilot can identify, analyze, and fix insecure cryptography at enterprise scale. We'll start by sharing why cryptographic security and post-quantum readiness should be on every organization's radar. Then, we'll dive into our cryptography security approach, powered by GitHub Copilot and CodeQL, and take you through an interactive enterprise demo on finding and fixing vulnerabilities. You’ll leave with practical insights and next steps to help your organization start securing its cryptography today.
, Global Head of Cyber Security Research, Banco Santander
, Principal Security Engineer, Microsoft
, Staff CodeQL Analysis Engineer, GitHub
See Details
Track: Secure
Delivery Format: In-person

11:00 am PDT - Oct 28

Breakout Session
Secure
Automate
Level 200: Intermediate
Financial Services
GitHub Advanced Security
Enterprise - Engineering Leadership
Security Professional
Security Leadership
In-person
AI summary
Security (RASP, supply chain, threat modeling, vulnerability detection)
Threat Modeling
Vulnerability Detection
Learn deployment strategies for rolling out secret protection across thousands of repositories
Discover automation patterns for prioritizing and remediating secrets at enterprise scale
Understand how to "get clean" and build “stay clean” workflows that enforce guardrails without slowing developers down
Secure every commit
Security professionals
Financial Services
https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-secure-large_1755504861206001HzrL.png
All Approved and Published Sessions
Tuesday, Oct 28
11:00 a.m. Tuesday, Oct 28
Secure cloud, shipped: Build clean, stay clean at enterprise scale
Secure In-person
Managing secrets is one of the most universal and pressing challenges in software security. In this session, Commonwealth Bank of Australia (CBA) and GitHub will share how they partnered to strengthen CBA’s security posture by implementing GitHub Secret Protection across thousands of repositories and developers. You’ll hear how they designed strategies for large-scale rollout, built “get clean” processes to effectively prioritize and remediate secrets, and established “stay clean” workflows that ensure secrets can’t be pushed into production—all without slowing developers down. Walk away with proven strategies and real-world lessons for implementing enterprise secret management that works, transforming a critical security challenge into a sustainable, developer-friendly practice.
, Director of Software Engineering, GitHub
, General Manager Engineering Platform, Commonwealth Bank of Australia
, Executive Manager of Engineering, Commonwealth Bank of Australia
See Details
Track: Secure, Automate
Delivery Format: In-person, AI summary

12:00 pm PDT - Oct 28

Breakout Session
Secure
Automate
Level 300: Advanced
Applicable to All
GitHub Enterprise Cloud
Security Professional
Security Leadership
In-person
AI summary
Tech debt and security debt
Migration strategies
Learn proven strategies for migrating thousands of developers to GitHub Enterprise Managed Users (EMU), integrating Azure AD, SCIM, and automated identity governance for maximum scale and security
Walk away with a repeatable blueprint for streamlining access, cleaning up legacy permissions, and maintaining developer productivity during large-scale platform migrations
Discover how automated access controls and audit-ready workflows dramatically reduce operational overhead, minimize risk, and improve compliance across your entire organization
Automate and scale with confidence
Engineering leaders
Security professionals
Financial Services
https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.png
All Approved and Published Sessions
Tuesday, Oct 28
12:00 p.m. Tuesday, Oct 28
Scaling identity: How to migrate a large enterprise to Enterprise Managed Users (EMU)
Secure In-person
Learn how WEX migrated thousands of developers to GitHub Enterprise Managed Users (EMU), integrating Azure Active Directory, SCIM provisioning, and automated repository access management. During the session, you'll also discover how WEX minimized disruption while building a secure, automated foundation for developer productivity at scale, resulting in measurable time and cost savings, reduced manual support, and an improved security posture. The team will share hard-earned lessons on scaling identity, cleaning up legacy access, and creating audit-ready workflows that streamline compliance and reduce operational overhead.
, Director Developer Enablement, WEX
, Sr Staff Engineer, WEX
, VP Platform Engineering, WEX
See Details
Track: Secure, Automate
Delivery Format: In-person, AI summary
Ship & Tell
Financial Services
Engineering leaders
Financial Services
Ship & Tell
https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-keynote-large_1755504861522001HU9w.png
All Approved and Published Sessions
Hidden (Manual Add)
Tuesday, Oct 28
12:00 p.m. Tuesday, Oct 28
Ship & Tell: Commonwealth Bank of Australia
Want to know what it really takes to roll out secret protection across thousands of repos without grinding development to a halt? Commonwealth Bank of Australia just walked through their partnership with GitHub to tackle one of security's toughest challenges—now they're here to answer your questions. Join the CBA team for an open Q&A where you can dig into the practical details of their "get clean, stay clean" approach. Whether you're struggling with developer adoption, figuring out how to prioritize remediation at scale, balancing security guardrails with velocity, or building the automation that makes it all sustainable—bring your questions about turning enterprise secret management from a nightmare into a working system.
, General Manager Engineering Platform, Commonwealth Bank of Australia
, Executive Manager of Engineering, Commonwealth Bank of Australia
See Details

1:00 pm PDT - Oct 28

Main Stage
Automate
Level 200: Intermediate
Business Services
Computers & Electronics
Consumer Services
Energy & Utilities
Financial Services
Food & Beverage Services
Government
Healthcare, Pharmaceuticals & Biotech
Manufacturing
Media & Entertainment
Non-Profit
Real Estate & Construction
Retail
Software & Internet
Telecommunications
Transportation & Storage
Travel, Recreation, and Leisure
Wholesale & Distribution
Applicable to All
Food & Beverage Manufacturing
Agriculture & Mining
GitHub Copilot
Enterprise - Engineering Leadership
In-person
Recorded
AI summary
AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
Data (analytics, management, privacy)
Monitoring and observability
Productivity
Understand how Copilot is being used within your organization by interpreting the metrics dashboard to identify usage patterns, recognize which teams are effectively leveraging the tool, and pinpoint opportunities for improvement
Discover strategies for engaging with teams that show low utilization and learn best practices from high-performing groups. Get practical approaches for helping your entire organization extract maximum value from Copilot through targeted interventions and knowledge sharing
Learn how to use Copilot metrics to demonstrate tangible business impact to stakeholders. Develop compelling ROI narratives that connect AI-assisted development to business outcomes including developer productivity, code quality, and innovation acceleration
https://youtu.be/FWsAQpP6_kw
Automate and scale with confidence
What's new from GitHub?
Engineering leaders
Financial Services
Manufacturing
Healthcare & Life Sciences
https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.png
All Approved and Published Sessions
Tuesday, Oct 28
1:00 p.m. Tuesday, Oct 28
From metrics to impact: Turn GitHub Copilot data into business value
Automate In-person
Your GitHub Copilot deployment is live — now what? This session explains how engineering leaders transform AI adoption from "nice to have" to "business critical" using GitHub’s Copilot Metrics to provide the foundation for strategic decision-making around your AI investments. You'll discover the refreshed Copilot Metrics dashboard that delivers comprehensive usage insights you can act on today. Learn how to interpret these metrics to understand adoption patterns, identify high-performing teams, and recognize opportunities to increase Copilot utilization across your organization. Learn real strategies for three essential business outcomes: measuring effective usage, driving broader adoption, and demonstrating tangible business value. You'll also explore practical approaches to help your teams maximize their Copilot experience and how to translate usage data into compelling ROI narratives that secure ongoing AI investment.
, VP, Engineering, GitHub
, Senior Director of Enginering, GitHub
See Details
Track: Automate
Delivery Format: In-person, Recorded, AI summary

2:00 pm PDT - Oct 28

Breakout Session
Secure
Level 200: Intermediate
Computers & Electronics
Financial Services
Government
Healthcare, Pharmaceuticals & Biotech
Software & Internet
Applicable to All
Actions
VS Code
Enterprise - Developer
Security Professional
Security Leadership
In-person
AI summary
AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
Security (RASP, supply chain, threat modeling, vulnerability detection)
Gain a clear understanding of the current security risks and conventions for authenticating and authorizing MCP servers
Discover practical strategies and tools to simplify and strengthen security for both local and remote MCP servers
Learn why security must be an integral part of the MCP server development lifecycle, and how familiar API security principles can be adapted for modern AI-powered infrastructures
Secure every commit
Agentic AI + Model Context Protocol (MCP)
Developers
Security professionals
Financial Services
https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-secure-large_1755504861206001HzrL.png
All Approved and Published Sessions
Tuesday, Oct 28
2:00 p.m. Tuesday, Oct 28
Data protection strategies for MCP without the risk
Secure In-person
Model Context Protocol (MCP) is top of mind for developers. Everyone wants to expose tools and data to their customers' large language models (LLMs) in a consistent way. But can you do this without risking your data from being misused or accidentally exposed? In this session, you'll learn about the latest ways you can protect local and remote MCP servers and make sure that your data is secure — no matter how it's hosted.
, Principal Product Engineer, Microsoft
See Details
Track: Secure
Delivery Format: In-person, AI summary
Breakout Session
Secure
Automate
Level 200: Intermediate
Applicable to All
GitHub Enterprise Cloud
GitHub Enterprise Server
Enterprise - Engineering Leadership
Enterprise - Developer
In-person
AI summary
DevOps and DevSecOps
Collaboration
Custom integrations and APIs
Governance and compliance
Discover practical strategies to save time, reduce manual effort, and scale security without sacrificing developer productivity
See how smart, automated policies can enable least-privilege access and compliance, so your teams can focus on building and innovating, not managing permissions
Get a sneak peek at upcoming GitHub enterprise innovations that will help you future-proof your platform and stay ahead of security challenges that could impede your progress
Automate and scale with confidence
What's new from GitHub?
Engineering leaders
Financial Services
Manufacturing
Healthcare & Life Sciences
https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.png
All Approved and Published Sessions
https://docs.github.com/en/organizations?utm_source=universe-web-page-docs-organizations&utm_medium=web&utm_campaign=universe25post
Tuesday, Oct 28
2:00 p.m. Tuesday, Oct 28
Managing multiple organizations without multiplying the pain
Secure In-person
Enterprise teams and admins are under pressure to balance robust security with developer productivity — especially as organizations scale to thousands of repositories and multiple business units. In this session, we’ll share proven strategies for transforming access management from a bottleneck into a business accelerator. Learn how leading platform teams leverage GitHub’s enterprise governance features to standardize policies, empower developers with just the access they need, and dramatically reduce risk — without slowing down innovation. Whether you’re looking to streamline onboarding, automate compliance, or support cross-functional teams, discover how to unlock developer velocity and security at scale.
, Director of Product, Enterprise, GitHub
, Staff Product Manager, GitHub
See Details
Track: Secure, Automate
Delivery Format: In-person, AI summary

4:00 pm PDT - Oct 28

Fireside Chat
Automate
Level 100: Introductory
Financial Services
GitHub Copilot
Enterprise - Engineering Leadership
Enterprise - Developer
In-person
Start Small, Scale Smart: A phased rollout with public progress reports, regional leadership partners, and embedded governance are keys to rollout at scale.
Lead with Trust, Measure with Purpose: By having productivity metrics built into the culture, installing productivity as a measure of ROI was not a difficult leap.
Design for Developers, Deliver with Empathy: A customer-first mindset: white-glove support, diverse learning formats, and real-time feedback loops creates a trusted, responsive experience that scales.
Automate and scale with confidence
Engineering leaders
Financial Services
https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.png
All Approved and Published Sessions
Hidden (Manual Add)
Tuesday, Oct 28
4:00 p.m. Tuesday, Oct 28
Copilot rollout strategy: A developer experience story
Automate In-person
This fireside chat explores the strategic rollout of GitHub Copilot across a global developer ecosystem. Framed through five key themes—Meticulousness, Responsibility, Customer Focus, Scale, and Metrics—the conversation highlights how technical precision, governance, and empathy shaped a transformative experience. Learn how the team balanced innovation with accountability, scaled adoption from 500 to 25,000 developers, and measured success through sentiment and productivity. More than a deployment, this is a story of trust, enablement, and putting developers—our customers—at the center.
, Managing Director, Global Developer Experience, Bank of America
, Strategic, GitHub
See Details
Track: Automate
Delivery Format: In-person

12:00 pm PDT - Oct 29

Product Demo
Build
Automate
Level 200: Intermediate
Applicable to All
Actions
GitHub Copilot
VS Code
Enterprise - Engineering Leadership
Enterprise - Developer
In-person
Recorded
AI summary
AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
Continuous Integration + Continuous Deployment (CI/CD)
DevOps and DevSecOps
Collaboration
Productivity
Tech debt and security debt
Gain insight into how Principal created engineering consistency through shared pipelines, standards, and GitHub Copilot adoption
Discover how enablement teams use AI agents to shift work from “do it yourself” to “done for you” at enterprise scale
Learn how agentic workflows reduce cognitive load and operational tax, enabling happier, more focused engineering teams
https://youtu.be/Gg3GHkCTlAc
Automate and scale with confidence
Agentic AI + Model Context Protocol (MCP)
Financial Services
https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.png
All Approved and Published Sessions
12:00 p.m. Wednesday, Oct 29
Wednesday, Oct 29
From burnout to breakthrough: Building agentic workflows that save millions
Build In-person
Engineering teams are drowning in to-do lists: migrations, dependency upgrades, security patches, and ever-changing internal standards. What if your AI tools could take care of that for you? In this fast-paced demo, see firsthand how Principal Financial Group leveraged GitHub Copilot — and other LLM agents — along with Model Context Protocol (MCP) to orchestrate automated updates across thousands of repositories — saving their team tens of thousands of engineering hours. You'll walk away with practical insights to kickstart your own AI-powered workflows and start enabling happier, more focused engineering teams.
, Software Engineer, Principal
See Details
Track: Build, Automate
Delivery Format: In-person, Recorded, AI summary

2:00 pm PDT - Oct 29

Discussions Lounge
Automate
Level 200: Intermediate
Applicable to All
GitHub Copilot
Enterprise - Engineering Leadership
In-person
Agile practices
AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
Collaboration
Learn from your peers about how teams integrate GitHub Copilot into planning, API specs, and leadership-level technical decisions
Discover collaborative approaches to AI-assisted documentation workflows through group discussions and shared best practices
Get organizational change strategies for AI adoption in non-development roles through participant case studies and solutions
Automate and scale with confidence
Engineering leaders
Financial Services
Manufacturing
Healthcare & Life Sciences
https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.png
All Approved and Published Sessions
2:00 p.m. Wednesday, Oct 29
Wednesday, Oct 29
Leading with GitHub Copilot: Rethinking experience, strategy, and collaboration
Automate In-person
It's time to unlock the power of GitHub Copilot beyond the IDE. Join fellow product owners, managers, designers, and technical leaders in an interactive discussion about how AI is transforming non-development workflows. Come ready to share your experiences with AI tools in planning, documentation, and technical decision-making. Together, we'll explore how teams are using GitHub Copilot for streamlining user stories, requirements gathering, and strategic planning tasks. Participants will collaborate on practical approaches, share implementation challenges, and discuss organizational change strategies around AI adoption in leadership roles. Bring your own use cases and pain points — you'll learn from diverse team experiences and leave with actionable strategies informed by peer insights.
, Senior Solutions Engineer, GitHub
, Senior Solutions Engineer, GitHub
See Details
Track: Automate
Delivery Format: In-person