Data Poisoning Explained for SecurityX and SecAI+
Data Poisoning Explained: Attacking AI Training Data for SecurityX and SecAI+ Sep 27, 2026 · @Ken What Is Data Poisoning? Most attacks target a system after it is built. Data poisoning targets it while it is still learning. In a data poisoning attack , an adversary deliberately manipulates the data a machine learning model trains on, so that the finished model carries a flaw the attacker chose. The model is not exploited later — it is built wrong from the start. Nothing in the running system is misconfigured, and no code is vulnerable. The weights themselves are the vulnerability. That timing is the single most important distinction for both exams: Data poisoning happens at training time . The attacker corrupts the learning process. Evasion attacks (adversarial examples) happen at inference time . The model is fine; the attacker crafts an input that fools it. Prompt injection also happens at inference time , against a language model, through the input channel. Model inv...