Data Poisoning Trend 2026

Data poisoning is a cyberattack where malicious actors corrupt training datasets, subtly altering AI and machine learning models. By injecting flawed or biased data, attackers manipulate outputs for fraud, misinformation, or bypassing security. Beneficiaries include cybercriminals, rogue competitors, and nation-states seeking to destabilize systems or gain unfair advantages, making robust data validation essential.