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AI-powered cloud SIEM: Real-time threat intel boosts defences | Computer Weekly
Summary
With advanced capacities for analysing large quantities of data in one go, and enhanced predictive capabilities for identifying potential threats and weak points across a broad security system, AI and machine learning are valuable tools to protect cyber infrastructures going forward. In this article, we will take a look at the revolutionary potential of AI-powered cloud security information and event management (SIEM) solutions, which work continuously to protect vital digital systems. Where human security teams might accidentally overlook specific indicators of compromise, AI algorithms enact continuous monitoring, making it highly unlikely that a suspicious incident or user behaviour will slip through the cracks, so to speak. In cloud SIEM platforms, AI models can specifically seek out phishing attempts, analysing written communication content, including emails and messages to identify compromised links and attachments. These interconnected datasets are presented in the SIEM platform in easily navigable visualisations that provide layers of analysis that can help security teams quickly read the necessary details of a specific cyber attack.
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