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Courses/AI security and evaluation/Project: AI App Audit

Project: AI App Audit

The final project is a hands-on audit: you take an AI app and produce a short report that states what it does, what could go wrong, which tests it passed, and what's missing before production.

  • Apply risk maps, OWASP, evals, privacy, and supply chain on a real app.
  • Create useful evidence to decide whether to publish, limit, or fix.
  • Leave a repeatable template for future Aulafy projects.

Minimum report

Terminal
# AI Audit

System:
Owner:
Date:
Users:
Data processed:
Connected tools:

## Main risks
- Risk:
  Impact:
  Control:
  Status:

## Evals
- Total cases:
- Pass:
- Fail:
- Critical cases:

## Red teaming
- Attacks tested:
- Failures found:
- Mitigations:

## Privacy
- Sensitive data:
- Logs:
- Retention:
- Access:

## Supply chain
- Models:
- Datasets:
- Dependencies:
- Licenses:

## Decision
Outcome: publish | publish with limits | pilot | block
Reason:
Next review:

Launch traffic light

  • Green: does not touch sensitive data, does not execute actions, basic evals pass.
  • Yellow: touches internal data or tools; requires logs, limits, and human approval.
  • Red: can affect money, health, employment, rights, customers, or personal data; requires serious review before production.
Complete Aulafy mapSee how this lesson fits without leaving your path.

Complete Aulafy map

How all courses connect

This is not a checklist. Start with the foundation, choose an outcome, and go deeper only when your project needs more control.

  1. 1Understand
  2. 2Apply or build
  3. 3Operate with confidence
01

Choose an application

Turn the foundation into a visible outcome: a website, a business improvement, media, or an interactive experience.

Continue into the technical branch when you need to maintain code, data, or infrastructure.

02

Build with code

Prepare your environment, work with coding agents, and run models while keeping control of your projects.

This branch prepares you to design and operate reliable AI systems.

03

Take systems to production

Combine retrieval, agents, evaluation, security, deployment, and model adaptation when the problem requires it.

You do not need every course: choose the component your system needs and return as it grows.

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