Unbreakable Chains: How AI is Fortifying Cyber Resilience in Supply Chains
Conventional log monitoring solutions rely on manual rule-based analysis, whereas newer AI techniques utilize Natural Language Processing to model log streams and detect normal operating patterns. However, combining the benefits of these dynamic and static monitoring methods can create a powerful automated system capable of identifying anomalous situations and potential security risks without requiring human intervention. In this article we explore the potential benefits of integrating both novel and well-established techniques, in the context of an often conservative domain.
