Week 15 - Day 1 - Phase 4: Production ML

Security Engineering for AI

Protecting Your ML Systems from Attack

3 Hours
Hands-on Labs
OWASP Top 10
Capstone Ready
!

Tonight's Mission

You are a security engineer tasked with auditing an AI startup's codebase. Find vulnerabilities, fix them, and build a security checklist for your capstone project.

Interactive Learning Modules

Complete each module to build your security engineering skills

Learn
1

OWASP Top 10 Explorer

Interactive guide to the OWASP Top 10 vulnerabilities with specific examples for AI/ML systems.

  • Click-through vulnerability cards
  • AI/ML specific attack scenarios
  • Real-world breach examples
  • Quick reference for each risk
Explore OWASP
Challenge
2

Vulnerability Hunter

Gamified code review challenge. Find security flaws in AI/ML code before time runs out!

  • Timed vulnerability hunting
  • Score points for each find
  • Multiple difficulty levels
  • Leaderboard tracking
Start Hunting
Practice
3

Threat Model Builder

Build threat models for AI features using an interactive drag-and-drop interface.

  • Visual threat modeling
  • Pre-built AI/ML templates
  • Export to documentation
  • STRIDE methodology
Build Model
Practice
4

Secrets Refactor Lab

Hands-on lab to refactor insecure code. Fix hard-coded secrets and implement proper patterns.

  • Interactive code editor
  • Real-time validation
  • Environment variable patterns
  • Best practices hints
Start Lab
Learn
5

Encryption Playground

Visualize encryption concepts. See how data is protected in transit and at rest.

  • Live encryption demos
  • HTTPS visualization
  • Field-level encryption
  • Key management basics
Explore Encryption
Practice
6

Security Checklist Generator

Generate a custom security checklist for your capstone project based on your stack.

  • Stack-specific recommendations
  • Exportable checklist
  • Priority ranking
  • Implementation guides
Generate Checklist

Suggested Learning Path

1
OWASP Basics
15 min
2
Hunt Vulnerabilities
25 min
3
Threat Model
20 min
4
Fix Secrets
20 min
5
Build Checklist
15 min

Tonight's Learning Objectives

By the end of this session, you'll be able to:

1

Apply OWASP Top 10

Map OWASP risks to AI/ML systems and APIs

2

Identify Vulnerabilities

Spot hard-coded secrets and insecure patterns

3

Implement Encryption

Protect data in transit and at rest

4

Build Threat Models

Systematically identify attack vectors

5

Manage Secrets

Use environment variables and secure patterns

6

Create Security Checklist

Build actionable security checklist for capstone