If you're building with GitHub Agentic Workflows, security is baked into the foundation. 🔐 The architecture is set up around three core principles: 🛡️ Isolation 🛡️ Constrained outputs 🛡️ Comprehensive logging Here's how we engineered it to be secure by design from day one. ⬇️ github.blog/ai-and-ml/gene…

@github Solid approach. Security by design is exactly what’s needed as AI agents start executing real tasks. Isolated environments, controlled outputs, and full audit trails are the baseline for trustable automation.

@github Can you please respond to us @github

@github Governance Layer is missing 🧠

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@github Thanks

@github Agentic AI without guardrails = risk at scale. This is how you build it right. 🔐

The logging layer is the one people underestimate. Isolation and output constraints are table stakes in any serious security design. But comprehensive audit trails are what let you investigate when something unexpected happens and improve the system over time. This is the right architecture for production agentic workflows.

@github Stop shadow banning developers using claude code, codex, and your own copilot please. Do a search for 'github flagged' and you'll see a ton of users who are stuck in KafkaHub right when everyone wants to use your platform with AI

@github security as a core principle is essential. building trust starts with solid foundations.

@github You've finally hit 99% uptime again!

@github Solid foundation. The missing piece I keep seeing in practice: skill/tool supply chain. Isolation and logging don't help if the MCP you installed last week was compromised at the source. Who authorized that tool, and does anyone have visibility into what it can do?

@github your girl loves a good container isolation strategy. this is basically warehouse zoning for code logistics and im here for it

@github Useful

@github help me，to unlock my account，i can not use my subscribe copilot，i submit an order that ticket number is 4226211

@github Hi GitHub please I've got a little issue, can I send a message