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Important Note: register on the external event website is required for admission

Description:
Welcome to the AI meetup in Silicon Valley. Join us for deep dive tech talks on AI, GenAI, LLMs and Agent, hands-on experiences on code labs, workshops, and networking with speakers and fellow developers.

Agenda:
- 5:30pm~6:00pm: Checkin, food and networking
- 6:00pm~6:10pm: Welcome, Community update
- 6:10pm~8:00pm: Tech talks and Q&A
- 8:00pm~8:30pm: Open discussion, Mixer and Closing.

Tech Talk: Securing Coding Agents: Sandboxes, Guardrails, and Real-World Attacks
Speaker: Dan Ndombe (Docker)
Abstract: While most coding agents have "sandboxes" and "permissions", did you know that they are easily bypassed? And it's rare that a day goes by without hearing how Claude or Codex or Copilot or insert new agent here has leaked credentials or deleted a filesystem. So, how do we fix this? In this talk, we'll talk about the various ways in which things can go wrong and how Docker's been building tooling to combat these issues. At the end of the day, Docker wants to help developers get the full power of agents, but provide the proper guardrails and observability. We'll dive into Docker Sandboxes, the MCP Toolkit, and get a sneak peek of upcoming features. There will be lots of demos (both good and bad!) of blocking various attacks, ranging from filesystem deletion, to API token leaks, and various prompt injections. It should be a lot of fun!

Speakers/Topics:
If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors:
We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 50,000+ AI developers in San Francisco Bay Area and 500K+ worldwide.

Related topics

Artificial Intelligence
Computer Vision
Machine Learning
Natural Language Processing
Data Science

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