AI in Cyber Threat Hunting and Defense

The collection of sources provides a comprehensive overview of the AI arms race in cybersecurity, detailing how artificial intelligence is leveraged for both offensive and defensive purposes. On the offensive side, sources emphasize that malicious actors, including nation-state groups and cybercriminals, are increasingly using generative AI to create highly sophisticated attacks, such as personalized phishing emails, autonomous polymorphic malware, and convincing deepfakes that lead to massive financial fraud. Conversely, the sources highlight the critical role of defensive AI in countering these threats through methods like real-time anomaly detection, behavioral analytics, and Security Orchestration, Automation, and Response (SOAR) platforms that automate threat detection and incident response. Furthermore, several texts stress the importance of robust AI governance, adversarial training, and human oversight to mitigate inherent technical and operational risks, such as jailbreak vulnerabilities and the production of unreliable outputs, ensuring that AI remains an asset in the evolving security landscape.