How Azure Security Center uses machine learning to enable adaptive application control
While the threat landscape has changed dramatically over the last several years, malware detection continues to be one of the biggest issues.
While the threat landscape has changed dramatically over the last several years, malware detection continues to be one of the biggest issues.
Last year we committed to making it easier for customers to run their services in the public cloud.
Azure Security Center, which helps you protect workloads running in Azure against cyber threats, can now also be used to secure workloads running on-premises and in other clouds.
Azure Security Center just released a new Just-In-Time (JIT) VM Access mechanism. JIT VM Access, now in public preview, significantly reduces your exposure to attacks by enabling you to deny persistent access while providing controlled, audited access to VMs when needed.
Azure Security Center automatically collects, analyzes, and integrates log data from a variety of Azure resources.
In Azure, security is built in at every step—design, code development, monitoring, operations, threat intelligence, and response.
While cloud security continues to be a top concern, we recently shared insights from a survey that show overall concern has dropped significantly since 2015. We’re now at a stage where half of organizations contend the cloud is more secure than their on-premises infrastructure.
While the cloud may have initially raised some security concerns among enterprises, Microsoft is changing those dynamics.
Furthering our commitment to be the most trusted cloud for Government, today Microsoft is proud to announce two milestone achievements in support of the US Department of Defense.
As announced at the end of September, Azure Security Center now offers integrated vulnerability assessment with Qualys cloud agents (preview) as part of the Virtual Machine recommendations.