Order human-run real-device app tests from your coding agent; verified bugs return as fix prompts.
AI SKILLS · Security
Secure AI applications & agents
Review how untrusted input, tools, and permissions can affect an AI application.
Why this skill matters
An assistant with access to business systems needs carefully bounded authority.
What to learn
- Identify prompt-injection boundaries
- Restrict tool permissions
- Test sensitive-data exposure in a sandbox
Before you begin
Application security fundamentals
PUT IT INTO PRACTICE
Build a work sample
Threat-model a fictional internal assistant. Test malicious document instructions with dummy data and record defenses.
Evidence of progress
A threat model, safe test cases, and a least-privilege tool policy.
This exercise is an original ToolGrail suggestion. Use public, synthetic, or approved data.
LEARNING RESOURCE
GenAI application security resources
OWASP · Resource checked 2026-11-04
Open learning resource ↗This may be documentation, a framework, or a training path. Product access, accounts, or paid licenses may be needed for hands-on exercises.
Tools you could practice with
Matched by related tasks. Use a tool you already have access to; these are examples, not course requirements.
Cloud console for a fleet of AI coding agents running on your own machines. OAuth.
Remote shell and detached long-running jobs on your own machines no SSH, open ports or VPN.
Capture website screenshots, run bulk captures, and manage screenshot schedules and history.
Skill descriptions, exercises, and priorities are editorial. They are not professional qualifications or guarantees of employment. Read our skills methodology →
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