Proceedings of the 2nd International Workshop on Adaptive Cyber Defense
Marco Carvalho, Damian Marriott, Mark Bilinski, Ahmad Ridley

TL;DR
This paper discusses the role of AI and ML in developing adaptive, semi-autonomous cyber defense systems that can learn, evolve, and respond to cyber threats more effectively, addressing current human resource limitations.
Contribution
It introduces recent advances and research efforts in applying AI and ML to create dynamic, sustainable, and adaptive cyber defenses that can operate with minimal human intervention.
Findings
Development of semi-autonomous cyber defense systems
Integration of AI/ML techniques for adaptive threat response
Enhanced collaboration between AI, cyber experts, and systems
Abstract
The 2nd International Workshop on Adaptive Cyber Defense was held at the Florida Institute of Technology, Florida. This workshop was organized to share research that explores unique applications of Artificial Intelligence (AI) and Machine Learning (ML) as foundational capabilities for the pursuit of adaptive cyber defense. The cyber domain cannot currently be reliably and effectively defended without extensive reliance on human experts. Skilled cyber defenders are in short supply and often cannot respond fast enough to cyber threats. Building on recent advances in AI and ML the Cyber defense research community has been motivated to develop new dynamic and sustainable defenses through the adoption of AI and ML techniques to cyber settings. Bridging critical gaps between AI and Cyber researchers and practitioners can accelerate efforts to create semi-autonomous cyber defenses that can…
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Taxonomy
TopicsNetwork Security and Intrusion Detection · Information and Cyber Security · Advanced Malware Detection Techniques
