Today, IBM announced IBM Security Guardium Big Data Intelligence, a solution that provides the power and capacity of a big data platform while also meeting data security requirements. Expanding data volumes and longer compliance data retention...
Evolving AI will drive improved security intelligence analytics, while opening up more opportunities for cybercriminals. What happens when AI plays both sides?
The World Economic Forum has gathered cybersecurity attack statistics ahead of its annual gathering in Davos, Switzerland.
Google announced the launch of a security center for G Suite in an attempt to make it easier for IT decision-makers to tighten their grip over data protection and cybersecurity analytics.
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.
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.
Recent advancements in machine learning, deep learning and cognitive security have made artificial intelligence an essential tool for cybersecurity teams.
A platform approach to security monitoring empowers analysts to take their SIEM to the next level with advanced threat detection and response capabilities.
An automated security analytics platform can help understaffed security teams sift through threat data more efficiently and focus on more critical tasks.
Security monitoring and analytics platforms deliver business value by reducing the time it takes to identify, investigate and remediate threats.