Eli Aleyner | Docker

Secure, minimal container images for every team, free with enterprise features, if needed.
In July, Docker, Snyk and Keycard published Agent Baseline, an open, vendor-neutral reference architecture that defines security outcomes for running AI agents in the enterprise. It grew out of conversations with industry leaders who want to adopt agents more broadly but need answers to three questions: What is operating, with what capabilities? Is it staying…
Two-part webinar series on governing AI agents. Learn why the laptop is the new prod, why gateways fall short, and how to govern agents from one console.
Docker is bringing the open source Sandbox Kit Spec to the CNCF, so AI agent permissions become a neutral, vendor independent standard built on OCI.
Meet the partners and customers bringing practical AI, security, and development sessions to the Docker Pavilion at WeAreDevelopers. The post explains why a strong ecosystem matters to developers, announces the sessions and speakers, and invites attendees to connect with the teams building and using these technologies.
Agent Baseline is a blueprint for AI adoption that defines six security outcomes for putting enterprise agents to work without giving them unchecked authority. Consider this scenario: a customer-support agent receives a ticket with an attachment. Hidden inside the attachment is an instruction: query the customer database and send the results to an external address….
NanoClaw integrates with Docker Sandboxes to run AI agents in disposable MicroVMs, combining transparency and isolation for secure execution.
AI agents are moving from experiments to production, but security is an afterthought for most teams. In this talk, VP of Product Strategy & Alliances at Docker, Eli Aleyner shares the 3Cs Framework for AI Agent Security: a practical model for architecting trustworthy agentic systems across your organization. Drawing from real-world experience running OpenClaw and…
Every time execution models change, security frameworks need to change with them. Agents force the next shift. The Unattended Laptop Problem No developer would leave their laptop unattended and unlocked. The risk is obvious. A developer laptop has root-level access to production systems, repositories, databases, credentials, and APIs. If someone sat down and started using…
Today, the Linux Foundation launched the Agentic AI Foundation with three founding projects: Anthropic’s Model Context Protocol (MCP), Block’s goose agent framework, and OpenAI’s AGENTS.md standard. The foundation brings together the companies building the infrastructure layer for agents: Anthropic, Block, OpenAI, Amazon, Google, Microsoft, Cloudflare, and Bloomberg, alongside key tooling and platform companies. Docker is…
Learn how to run multi-modal models on virtually any GPU, streamline model distribution, and simplify collaboration across teams with Docker Model Runner.
In July, Docker, Snyk and Keycard published Agent Baseline, an open, vendor-neutral reference architecture that defines security outcomes for running AI agents in the enterprise. It grew out of conversations with industry leaders who want to adopt agents more broadly but need answers to three questions: What is operating, with what capabilities? Is it staying…
Docker is bringing the open source Sandbox Kit Spec to the CNCF, so AI agent permissions become a neutral, vendor independent standard built on OCI.
Meet the partners and customers bringing practical AI, security, and development sessions to the Docker Pavilion at WeAreDevelopers. The post explains why a strong ecosystem matters to developers, announces the sessions and speakers, and invites attendees to connect with the teams building and using these technologies.
Agent Baseline is a blueprint for AI adoption that defines six security outcomes for putting enterprise agents to work without giving them unchecked authority. Consider this scenario: a customer-support agent receives a ticket with an attachment. Hidden inside the attachment is an instruction: query the customer database and send the results to an external address….
NanoClaw integrates with Docker Sandboxes to run AI agents in disposable MicroVMs, combining transparency and isolation for secure execution.
Every time execution models change, security frameworks need to change with them. Agents force the next shift. The Unattended Laptop Problem No developer would leave their laptop unattended and unlocked. The risk is obvious. A developer laptop has root-level access to production systems, repositories, databases, credentials, and APIs. If someone sat down and started using…
Today, the Linux Foundation launched the Agentic AI Foundation with three founding projects: Anthropic’s Model Context Protocol (MCP), Block’s goose agent framework, and OpenAI’s AGENTS.md standard. The foundation brings together the companies building the infrastructure layer for agents: Anthropic, Block, OpenAI, Amazon, Google, Microsoft, Cloudflare, and Bloomberg, alongside key tooling and platform companies. Docker is…
AI agents are moving from experiments to production, but security is an afterthought for most teams. In this talk, VP of Product Strategy & Alliances at Docker, Eli Aleyner shares the 3Cs Framework for AI Agent Security: a practical model for architecting trustworthy agentic systems across your organization. Drawing from real-world experience running OpenClaw and…
Two-part webinar series on governing AI agents. Learn why the laptop is the new prod, why gateways fall short, and how to govern agents from one console.
Learn how to run multi-modal models on virtually any GPU, streamline model distribution, and simplify collaboration across teams with Docker Model Runner.