Tag: User Behavior Analytics (UBA)

When framed as an innovative, even "cool" feature, multifactor authentication can deliver the security online retail customers demand without diminishing the user experience.

As consumers become more aware of their data privacy, organizations across sectors are under increasing pressure to deliver frinctionless digital trust.

Armed with security analytics tools, organizations can benefit from big data capabilities to analyze data and enhance detection with proactive alerts about potential malicious activity.

The evolution of users, devices and regulatory mandates has created a need for a new identity and access management framework. These nine use cases demonstrate the value of silent security solutions.

User behavior analytics (UBA) is a good application, but it isn't a replacement for SIEM. UBA is more accurately described as a cybersecurity application that can be added on top of an SIEM tool.

User behavior analytics (UBA) can help security teams uncover ignorant, negligent and malicious activity with advanced machine learning algorithms — but Rome wasn't built in a day.

The increasing complexity of modern IAM makes it hard to understand your organization's access risks. Identity analytics can help by enhancing existing processes with a rich behavioral and event data.

Industrial IoT technologies promise to revolutionize the automotive industry, but they also introduce new risks. What are the biggest threats auto companies face, and how can they mitigate them?

Insider threats are not only the most common cause of cybersecurity risk, but also the costliest and hardest to detect.

As cloud adoption increases, the IT skills gap widens and the threat landscape becomes more sophisticated, innovations in SIEM technology will revolutionize the way SOCs perform security analytics.