Topic
Sandboxing & Guardrails for Autonomous Agents
12 posts on sandboxing & guardrails for autonomous agents — part of ai agents & automation on the n4n AI blog.
Setting rate limits and budgets for autonomous agents
Practical steps to enforce rate limits and budgets for AI agents calling LLMs, with code for middleware, metering, and fallback guardrails.
Output validation guardrails for agent responses
A practical guide to building output validation AI agent guardrails: schema enforcement, content checks, and safe fallback patterns for production agents.
Kill switches: designing safe shutdowns for AI agents
Practical guide to building reliable kill switches for AI agents: from in-process abort flags to gateway-level enforcement, sandboxing, and safe recovery.
How to stop an AI agent from looping indefinitely
Practical steps to stop AI agent infinite loop failures: iteration caps, cycle detection, token budgets, and deterministic exit signals.
How to set spending caps on autonomous agent workflows
Learn how to enforce spending caps on autonomous agents with per-workflow budgets, real-time token metering, and hard stops in your agent loop.
How to constrain AI agent actions to an allowlist
Practical guide to building an allowlist for AI agent actions: intercept tool calls, enforce constraints, and verify with tests to keep autonomous agents safe.
Guardrails for agents with filesystem write access
Practical guardrails for agents with filesystem write access: sandboxing, path restrictions, syscall filtering, and audit patterns to ship safely.
Docker containers vs microVMs for sandboxing agents
Practical comparison of Docker vs microVMs for agent sandboxing: isolation, latency, cost, ergonomics, and a use-case-based verdict for engineers.
What are AI agent guardrails and how do they work
A precise AI agent guardrails definition plus how they work in production: policy engines, sandboxing, validation, and common misconceptions.
Testing guardrails before deploying an autonomous agent
A hands-on tutorial to test AI agent guardrails before deployment using sandboxing, policy checks, and simulated adversarial prompts with runnable code.
How to sandbox code execution for autonomous agents
Practical guide to building a secure code sandbox for autonomous agents: container isolation, resource limits, syscall filtering, and a verified execution harness.
How to build a human-in-the-loop approval step for agents
Implement a human-in-the-loop approval step for AI agents with a durable queue, signed callbacks, and verification steps to keep autonomous systems safe.
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