Adversarial Machine Learning
When AI defenders improve, attackers evolve adversarial techniques—prompt injection now ranks first in OWASP's 2025 LLM Top 10, and deepfake evasion achieves 100% bypass rates against detection.
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.