How to Secure AI Agents in Production (IBM × Anthropic Framework)

Most teams ship AI agents using rules built for normal software. They don't fit — and your production pays for it. Here's the IBM × Anthropic framework that actually works, walked through phase by phase.

IBM Guide — Architecting Secure Enterprise AI Agents with MCP (verified by Anthropic): https://www.ibm.com/downloads/documents/us-en/1443d5dd174f42e6

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💬 COMMUNITY

Cloud-Native & Container AI community on Discord.
https://devops.pink/discord

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⏱️ TIMESTAMPS

00:00 — Why your AI agents are breaking in prod
00:25 — Why "it passed staging" doesn't work anymore
01:11 — The reframe: Agent Development Lifecycle (ADLC)
01:49 — Phase 1: Plan (Acceptable Agency)
02:19 — Phase 2: Code & Build (Prompts as Deployments)
02:35 — Phase 3: Test & Release (Red-Teaming)
03:10 — Phase 4: Deploy (Blast Radius Containment)
03:40 — Phase 5: Operate (The MCP Gateway)
04:17 — Phase 6: Monitor (Reasoning-Trace & Drift)
04:44 — The framework takeaway & Community

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🛠️ THE STACK

Tools I use and recommend. Partner links.

🦑 GitKraken Pro — Visual Git client
https://gitkraken.cello.so/an1FhNXzY8k

🛸 Proton VPN — Encrypted tunnel
https://go.getproton.me/SH1dk

🔐 Proton Pass — Zero-knowledge vault
https://go.getproton.me/SH1dj

🐧 Linux Foundation — Training catalog
https://training.linuxfoundation.org/full-catalog/

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📡 CONNECT

Blog: https://devops.pink
GitHub: https://github.com/DevOpsPink
LinkedIn: https://www.linkedin.com/in/DevOpsPink/
Discord: https://discord.gg/3q2999RSux
X: https://x.com/DevOpsPink
Bluesky: https://bsky.app/profile/devops.pink

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#AIAgents #AgenticAI #PlatformEngineering #DevSecOps #MCP

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Видео How to Secure AI Agents in Production (IBM × Anthropic Framework) канала DevOps Pink | by Docker Captain