Giskard
Tool manual · Kali & common usage
AI Security · Intermediate · AI Security lane
What is Giskard?
Giskard tests ML/LLM systems for performance and security issues.
Scan models for bias/leakage-style issues in lab notebooks.
Official website: Giskard · Documentation
When do you use it?
- You need ML/LLM testing for performance and security issues.
- You are following a CYNARKS lab or authorized engagement that calls for Giskard.
- You already tried simpler checks and need this tool’s deeper capability.
Who uses it?
- Security practitioners
- Students in authorized labs
- Engineers validating their own systems
How do you use it? (typical flow)
- Install Giskard using the steps below (prefer Kali package or official installer).
- Confirm you have authorization for the target (lab VM, own system, or written scope).
- Run --help / man (or the Help section) to see current flags for your version.
- Start with a safe example from Basic commands against localhost or an authorized lab target.
- Record what you ran, what you observed, and any follow-up (filter, report, remediation).
Help & manual (like man / --help)
Every serious tool has a built-in way to look up flags. Learn these first so you are not stuck memorizing every option.
1. Docs
https://docs.giskard.ai/
Kali Linux
pip install giskard
1. Installation
| OS | Installation |
|---|---|
Kali Linux | pip install giskard |
pip | pip install giskard |
2. Basic commands
1. Find bias/leakage issues
scan model wrapper in notebook
Find bias/leakage issues
2. Show help
scan --help
List flags for your installed version (same habit as man/--help).
3. Short help
scan -h
Alternate help flag when supported.
5. Useful features
- Scan
- Reports
6. Practical examples
Example 1: Find bias/leakage issues
scan model wrapper in notebook
Find bias/leakage issues
Example 2: Show help
scan --help
List flags for your installed version (same habit as man/--help).
Example 3: Short help
scan -h
Alternate help flag when supported.
7. Important notes
- Extend to LLM agents with care.
- Authorized targets only — labs, systems you own, or written permission.
- Prefer reading --help / man / official docs for your installed version; flags change over time.
Related course: ai security · web application security · Commands: /commands