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Day 236: Insecure Output Handling & Data Poisoning — Applied Lab
Learn Insecure Output Handling & Data Poisoning through review & teach-back, guided resources, practical work and a portfolio-ready outcome.
Learning objectives
Understand the topic
Explain Insecure Output Handling & Data Poisoning clearly, connect it to the AI Security & Governance phase, and identify one limitation or risk.
Apply the skill
Use MITRE ATLAS and Presidio to produce a small, reviewable result that demonstrates the concept.
Study plan and official resources
Portfolio practice
Shadow AI discovery report + acceptable-use policy draft
Complete the work in a safe test environment, capture evidence, document decisions and record what you would improve in a second pass.