Docker took the stage at the AI Engineer World’s Fair 2026 in San Francisco, emphasizing that the runtime—not just the model—is where agent trust is won. As AI agents increasingly execute code, access APIs, and handle sensitive data, the runtime must guarantee isolation, reproducibility, and observability.
- Docker AI Assistant now includes agent-specific templates that enforce least-privilege policies and read-only filesystems by default. Use
docker ai init --agentto scaffold a secure agent environment. - New
docker trustcommands for AI agents:docker trust agent signanddocker trust agent verifyallow developers to cryptographically sign agent images and verify them at runtime, ensuring only authorized agents run. - Runtime hardening for agent workloads: Docker Desktop introduces
--security-opt agentprofile that disables inter-container communication, limits syscalls, and restricts network access to approved endpoints only. - Docker Compose agent profiles: Compose files can now define agent-specific services with
profile: agent, enabling separate resource limits, secrets, and health checks for agent containers. - Observability hooks: Docker exposes
--log-opt agent-traceto emit structured logs for every agent action, compatible with OpenTelemetry for tracing agent decision chains.
The message from the fair was clear: as agents become autonomous, developers must treat runtime integrity as a first-class concern. Docker’s new features shift the focus from just shipping models to shipping trustworthy execution environments, making it easier to audit, roll back, and collaborate on agent behaviors. For AI engineers, this means adopting Docker not just as a container tool, but as the trust layer for agent-driven applications.
Source: https://www.docker.com/blog/ai-engineer-worlds-fair-2026-the-runtime-is-where-agent-trust-is-won/