This chapter discussed cyber resilience in the age of artificial intelligence (AI) and addressed various concerns related to AI in cybersecurity. It highlights both the positive and negative aspects of AI’s impact on cybersecurity.

The positive aspects include how machine learning (ML) and AI can enhance cybersecurity tools and products by introducing capabilities such as predictive analytics, pattern recognition, and automated threat response. AI can also help improve threat analysis and reduce false positives, enhancing the efficiency of cybersecurity efforts.

However, the negative aspects involve the risks associated with widespread AI use. These risks include the potential misuse of AI for hacking, data poisoning, and privacy concerns. It’s essential to implement guardrails for AI input ingestion, validate data, and maintain human oversight from development to training and ongoing monitoring to prevent model poisoning.

Responsible AI development,...