
What happened
A new open-source project, OpsCart Labs' Docker Security: A Practical Guide, offers 13 hands-on labs covering Docker hardening, runtime escape, secrets management, and AI context-poisoning defenses. The labs are reproducible and include scripts, configurations, and captured evidence.
Why it matters
The guide targets real-world production concerns, such as supply-chain trust, container runtime security, and AI workload isolation. It includes specific scenarios like Docker socket escape, privileged containers, and AI model security, helping teams validate controls before deployment.
What to watch
The AI-focused labs (06, 11, 13) test defenses against context poisoning using tools like Claude Code and Gemini CLI. Lab 13 compares agent-layer detection and sandbox-level filesystem isolation, and requires an OpenAI API key for Lab 11's AutoGen-based remediation agent.
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OpsCart Labs' Docker Security guide is a practical resource for teams wrestling with container security in production. Instead of just theory, it offers reproducible labs that mirror real-world attack scenarios, such as Docker socket exposure, privileged containers, and misconfigured seccomp profiles. The progression from CIS-aligned checks to supply-chain trust and runtime defense gives engineers a structured path to harden their environments, which is especially valuable for auditors and platform teams who need evidence-based validation.
The inclusion of AI-specific labs (06, 11, and 13) reflects the growing concern about securing machine learning workloads and AI agents. Lab 11, for instance, builds an AutoGen-based agent that uses GPT-3.5-turbo to remediate container issues, protected by HMAC authentication and rate limiting. Lab 13 tests defenses against context poisoning by injecting zero-width Unicode instructions into controlled projects, comparing how Claude Code and Gemini CLI behave, and validating Docker Sandboxes as an infrastructure-level defense. This practical angle helps teams understand both agent-layer detection and sandbox-level isolation.
The guide also emphasizes reproducibility, with scripts, configurations, and captured experiment evidence for each lab. It is part of OpsCart Labs, a collection of open-source labs informed by production cloud and Kubernetes operations. The estimated total time of 14–17 hours is a commitment, but the modular design lets users pick labs based on their threat model, making it a flexible addition to security training and compliance readiness.
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