Semantic Kernel tool calling with verification
Wrap SK plugins and planners with verifyAction so policy stays consistent across .NET and Python agents.
Wrap SK plugins and planners with verifyAction so policy stays consistent across .NET and Python agents. If you found this via microsoft, you likely need software this week — not another strategy deck. Sanctum Runtime combines an MIT SDK with a hosted console for execution-time approve, verify, and block.
Key takeaways
- Discovery channel: microsoft — intent is deploy or compare, not casual reading.
- Runtime trust gates side effects before they run; guardrails alone miss tool calls.
- First 100 teams typically gate email, payments, or prod writes in week one.
Implementation checklist
- Console → Agents → register agent → copy SDK snippet.
- Shield Rules → Verify on highest-risk action for your stack.
- Run one held action → approve on Overview or mobile PWA.
- Compliance → export audit sample for security or investor review.
People also ask
Where should I start if this article matches my search?
Open console.sanctumruntime.com, connect one agent with @sanctum-runtime/sdk, and gate one real action today. No sales call required for the first approval workflow.
Does Sanctum replace my model provider or gateway?
No. Sanctum sits at the action boundary — approve, verify, or block tool side effects — alongside OpenAI, Anthropic, Google, Microsoft, or gateway vendors.
How does this help us reach production safely?
You get policy versioning, human review queues, fleet pause, and audit exports — the artifacts security, finance, and insurance reviewers ask for when agents act autonomously.
Related: People Also Ask: best AI agent approval software (answered for 2026), Best AI agent security software (2026): buyer’s guide by boundary.
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