TechScope – نظرة على التقنية.

In today’s AI-driven world, data quality has become the backbone of every intelligent system. But what happens if those datasets are intentionally manipulated? This is where a serious threat called Data Poisoning emerges — one of the most dangerous security issues in artificial-intelligence systems. What Is Data Poisoning? Data poisoning refers to the injection of malicious or corrupted data into a model’s training set, causing it to learn false patterns or behave incorrectly. This attack occurs during the most sensitive phase of the AI lifecycle — the training stage — making it hard to detect because the poisoned samples often blend in naturally among millions of legitimate records. For instance, if an AI model is trained to diagnose medical images, an attacker could insert altered images that mislabel tumors, leading the system to produce dangerous false diagnoses. How Does It Happen? Cyber attackers can poison data in several ways: Subtle modifications: Tiny changes in images or tex...