Mechanism
Adversarial Machine Learning
TL;DR
As cybersecurity shifted to machine learning detection, attackers evolved adversarial techniques to fool AI models.
In cybersecurity, there is no finish line. Security is not a project. It's a perpetual subscription to the Red Queen's gym.
Techniques to fool AI detection models. Malware authors deliberately craft code to evade detection algorithms, exploiting weaknesses in how models classify threats. Escalated the arms race from human versus human to AI versus AI.
Business Application of Adversarial Machine Learning
As cybersecurity shifted to machine learning detection, attackers evolved adversarial techniques to fool AI models. This represents the latest escalation in the perpetual cybersecurity arms race, with no natural endpoint as software complexity grows infinitely.