AI in Cybersecurity: Enhancements in Cybersecurity: Improving Threat Detection and Response
Keywords:
Artificial intelligence (AI), Cybersecurity, Threat detection, Response capabilities False positives, False negatives, Operational effectiveness, Real-time learning, Deep learning models.Abstract
The integration of artificial intelligence (AI) in cybersecurity promises enhanced threat detection and response capabilities, yet organizations encounter numerous challenges in optimizing AI solutions. These include managing the high incidence of false positives and negatives generated by AI systems, which can hamper operational effectiveness and strain security teams. Moreover, the dynamic nature of cyber threats necessitates continual learning and updating of AI models, constrained by limited real-time data availability and computational resources. Compounding these complexities is the absence of widely accepted frameworks for securely assessing and operationalizing AI in cybersecurity contexts. Addressing these issues is crucial for unleashing AI's potential in real-time threat detection and response, thereby fortifying organizational cyber defenses.
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