A prompt is not a security control. It's a wish.
You can write "never touch production" into your AI agent's prompt all you want. It's probabilistic - one day it ignores you anyway.
The fix isn't a smarter prompt. It's the system around the agent: how you plan it, test it, deploy it, and watch it run.
I walked through the IBM × Anthropic framework - six phases, plain language:
Re-elected as a Docker Captain for 2026. 💖
The title isn’t the point - the work is: early-access testing on MCP Toolkit, Model Runner & Sandboxes, the videos, and a community I learn from every week.
Built different. Built pink - not just a tagline, it’s how I work: real technical depth, in my own voice.
Thank you, Docker, and to this community for being the reason it’s worth doing. 💙🐳
#DockerCaptain #Docker #DevOpsPink #Containerization #WomenInTech
A prompt is not a security control. It’s a wish.
You can write “never touch production” into your AI agent’s prompt all you want - it’s probabilistic, so one day it ignores you anyway.
The fix is a boundary the agent physically can’t cross: a hard ceiling on identity (Vault), policy-as-code that rejects bad plans (Sentinel), a governed way to act (MCP).
IBM just consolidated the whole stack - the cage already exists.
https://devops.pink/ai-agent-needs-a-ceiling-not-a-better-prompt/
A prompt is not a security control. It's a wish. The Vault → Sentinel → MCP → ADLC → watsonx Orchestrate stack that gives AI agents a hard ceiling — and why IBM consolidating HashiCorp made the whole thing boring, in the best possible way.
Your AI agent is tired of dry terminal logs. It wants your phone.📱
Meet MobAI-MCP - a server that gives Claude virtual fingers. The agent natively swipes and taps iOS and Android interfaces (emulators or real devices).
🔥 Pros: It flies. Parses the UI in 0.5s instead of 5s. Runs strictly locally (zero cloud leaks).
🫠 Cons: The model gets full control over the device.
Just published on the official Docker blog: "The Untrusted Autonomous Workload" by my partner @heyvaldemar (fellow Docker Captain).
What stood out for me as a DA: the section on what microVMs can't protect against. The workspace is shared by design, and the piece walks through what that means concretely. Honest security architecture writing is rare.
https://www.docker.com/blog/untrusted-autonomous-workload-ai-sandboxes/
Only 6-7% of teams reach the "advanced" cloud native tier.
I assumed it took more Kubernetes, service mesh, the hard stuff.
The CNCF Q1 2026 data proved me wrong. The actual bridge? Feature flagging - and the report explains exactly why it works.
I also got the author's take on why nobody saw it coming.
https://devops.pink/cncf-q1-2026-feature-flagging-cloud-native-maturity/
🤖 Half your codebase was written by AI.
👤 The other half by someone who left two years ago.
Guess who's on-call when it breaks.
New video on Rootly AI SRE - the partner that's got your back when prod goes down.
Google: 75% of new code is now AI-generated.
18 months ago it was 25%.
The software engineer is no longer the author - they're the editor. Same name tag, different job.
But we're still paid like authors.
Don't blow our cover. 🤫
Want to let AI agents go full YOLO mode without risking your host? 🚀
See how Docker solves the isolation problem with Docker Sandboxes. Lightweight microVMs keep your system completely safe.🛡️
Watch here (and see who chewed my hat 🐶):
https://youtu.be/PVjuMgjr0CU
