Thanks to a wealth of new capabilities, security operations teams that leverage a cutting-edge SIEM platform are better armed to defend their organizations from advanced and insider threats.
If you're thinking about adopting artificial intelligence as an ally in your security operations center, the following questions and considerations can be helpful to guide your decision-making.
Using unique methods of analyzing DNS data, advanced DNS analytics enables security teams to quickly and proactively find and eliminate potential threats.
As data becomes more fluid, dynamic and distributed, so do the challenges around protecting it. Unlike traditional data stores, there is little to no control of unstructured data.
Most companies still are not fully up to speed on GDPR compliance. Starting in 2020, they'll have a whole new regulatory maze to navigate: California's Consumer Privacy Act.
Data classification takes on even greater importance today in the context of regulatory compliance mandates and debates over data privacy. Here's what you need to know.
Threat intelligence should be translated into business-speak to help decision-makers understand the impact of potential threats and incorporate TI into their business strategies.
To successfully implement a zero trust architecture, security teams must invest in data security solutions that continuously monitor access in real time.
Intellectual property security is crucial to any company's bottom line. IT teams must locate this data, asses its risk and adjust policies accordingly.
Without visibility into all data stored on the network, the complex task of data security can have IT teams pining for the bygone days of filing cabinets.