Autonomous Cybersecurity: Evolving Challenges, Emerging Opportunities, and Future Research Trajectories
Ali Dehghantanha, Abbas Yazdinejad, Reza M. Parizi
Abstract
Autonomous cybersecurity represents a significant advancement in information security, enabling systems to autonomously detect, respond to, and mitigate cyber threats without human intervention. This position paper comprehensively analyzes the current challenges and opportunities in developing autonomous cybersecurity systems. We explore the existing landscape and highlight key challenges in adopting autonomous technologies for constructing secure architectures, achieving effective detection and response, conducting efficient forensic examinations, gathering proactive threat intelligence, engaging in advanced threat hunting, implementing offensive security measures, performing compliance audits, and navigating legal and governance frameworks. Our contributions include discussing novel solutions leveraging advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques and outlining promising future research directions. By addressing these challenges and harnessing emerging technologies, we can pave the way for more resilient and adaptive cybersecurity systems capable of autonomously defending against sophisticated cyber threats.