Collaborate Disseminate
Instead of traditional endpoint security solutions, organizations should spring for cybersecurity investments that improve their ability to fend off serious, unknown threats, not just familiar ones.
The post All Cybersecurity Investments Are Not Created Equal appeared first on Security Intelligence.
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For security leaders, the process of defining an SIEM strategy is never complete. A successful deployment requires careful planning, regular review and a culture of continuous improvement.
The post Rinse, Wash, Repeat: Defining, Planning and Continuously Improving Your SIEM Strategy appeared first on Security Intelligence.
Security analysts need access to deep network insights in the form of user behavior analytics to unlock the full potential of technologies such as artificial intelligence and machine learning.
The post Take a Dive: Deep Network Insights for Deeper Analytics appeared first on Security Intelligence.
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Recent advancements in machine learning, deep learning and cognitive security have made artificial intelligence an essential tool for cybersecurity teams.
The post Man With Machine: Harnessing the Potential of Artificial Intelligence appeared first on Security Intelligence.
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A platform approach to security monitoring empowers analysts to take their SIEM to the next level with advanced threat detection and response capabilities.
The post Security Monitoring and Analytics: Moving Beyond the SIEM appeared first on Security Intelligence.
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An automated security analytics platform can help understaffed security teams sift through threat data more efficiently and focus on more critical tasks.
The post Not Enough Hours in the Day? Respond Faster With Automated, Intelligent Security Analytics appeared first on Security Intelligence.
Security monitoring and analytics platforms deliver business value by reducing the time it takes to identify, investigate and remediate threats.
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An evolved security monitoring and analytics platform — as opposed to a tools-based approach — can help analysts make better use of available threat data.
The post Security Monitoring and Analytics: From Tools to Platforms appeared first on Security Intelligence.
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In the Industry 4.0 era, mainframe security is supported by four key areas: big data, analytics, human-machine interaction and cognitive computing.
The post Industry 4.0 Drives a New Era of Mainframe Security appeared first on Security Intelligence.
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To deliver the level of personalization today’s prosumers demand, utilities must support their energy security strategies with predictive analytics.
The post Personalizing Energy Security With Robust Analytics appeared first on Security Intelligence.
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