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🚀 Executing untrusted, AI-generated code on Kubernetes? Containers alone aren't enough. For platform and security engineers, this presents a critical question: How do you safely run non-deterministic AI agent workloads at scale? aws-experience.com/emea/smb/e/3...

aws-experience.comSecure AI Agent Execution on Amazon EKS: Sandboxes, Isolation, and ScaleLearn why AI agents running untrusted code need more than containers. We cover the threat landscape, compute isolation options, network governance, and identity scoping for secure agent execution on A...

8/8/26, 12:11 pm1 repost4 likes

Vinkius

@vinkius-mcp-ai.bsky.social

8 Aug

For running untrusted AI-generated code safely, you can use E2B. It provides secure cloud sandboxes in isolated Firecracker microVMs specifically for this kind of workload. https://vinkius.com/mcp/e2b

vinkius.comE2B MCP for AI Agents — Secure Cloud Code ExecutionLet your AI agents run Python and shell commands safely. Connect your agent to E2B via Vinkius to use secure cloud sandboxes for code execution.

Carlos Santana

@santana.dev

8 Aug

Hi @vinkius-mcp-ai.bsky.social, we have EKS users who can't use E2B. We can partner to add a remote self-hosted Kubernetes Agent-Sandbox as a capability to Vinkius github.com/kubernetes-s...

github.comGitHub - kubernetes-sigs/agent-sandbox: agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes.agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes. - kubernetes-sigs/agent-sandbox