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AI AgentsAdvancedCourse

Secure AI agents with permissions and guardrails

Design agents that can act usefully without getting broad, unsafe access to tools, data, or irreversible actions.

105 minClaude, OpenAI, Postgres10xCareer Team

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Join a guided cohort or workshop format when live delivery is available.

$99

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$9

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Overview

Agentic systems fail in dangerous ways when permissions are too broad, tools are weakly defined, or sensitive actions lack guardrails. This course teaches you how to design safer agents with scoped access, policy checks, and explicit boundaries.

Who it's for

  • Teams connecting agents to internal systems or customer data
  • Developers exposing tools that can send messages, write records, or trigger changes
  • Security-minded builders who need practical guardrails, not vague principles

What you'll build

  • A permission model that scopes agent access by role, task, or environment
  • Guardrails for tool use, input validation, and action confirmation
  • A review checklist for deciding which actions should be blocked, approved, or sandboxed

Prerequisites

  • A list of the tools or systems your agent can access
  • Clarity on which actions are reversible and which are not
  • Basic understanding of your auth and logging setup

Tools and setup

  1. Inventory the agent's tools, inputs, and outputs
  2. Classify the highest-risk actions and data paths
  3. Add policy checks before the agent can act

Modules

Module 1: Scope permissions

You will define the minimum access the agent needs and remove the rest, separating read, write, and high-risk actions.

Module 2: Add guardrails around tool use

You will validate parameters, confirm destructive actions, and create hard blocks for unsafe requests.

Module 3: Review and monitor

You will log sensitive actions, review failures, and use incident patterns to tighten the design over time.

Deliverable

A safer agent architecture with scoped permissions, guardrails, and review rules for high-risk behavior.

Common mistakes

  • Giving one agent broad access to every connected tool
  • Trusting the model to self-police unsafe actions
  • Failing to distinguish read-only actions from write or delete operations

Next steps

Extend the framework into secrets handling, environment isolation, approval workflows, and red-team testing for your agent stack.

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