What challenges do adversarial machine learning techniques pose for AI in cybersecurity?
- Automated threat response
- Data encryption
- Evasion of detection mechanisms
- Network segmentation
Adversarial machine learning poses challenges such as evasion of detection mechanisms. Attackers can manipulate data to mislead AI models, making them ineffective. Understanding these challenges is crucial for enhancing AI-based cybersecurity defenses and developing robust strategies to counter adversarial techniques.__________________________________________________
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