AI Security Guide: Protecting Models, Data, And Systems From Emerging Threats
Security Boulevard, Thursday, June 19th, 2025
AI security is where traditional cybersecurity meets the chaotic brilliance of machine learning.
It's the discipline focused on protecting AI systems-not just the code, but the training data, model logic, and output-from manipulation, theft, and misuse. Because these systems learn from data, not just logic, they open up fresh attack surfaces like data poisoning, model inversion, and prompt injection. Keeping AI safe means securing everything from the datasets that shape it to the decisions it makes in production.