張貼者：Liza Mash Levin

Machine Learning powered detections with Kusto query language in Azure Sentinel

2019年4月16日

As cyberattacks become more complex and harder to detect. The traditional correlation rules of a SIEM are not enough, they are lacking the full context of the attack and can only detect attacks that were seen before. This can result in false negatives and gaps in the environment. In addition, correlation rules require significant maintenance and customization since they may provide different results based on the customer environment.

Liza Mash Levin Senior Program Manager Lead, Azure Sentinel team

• Security

Protect Linux containers running in IaaS with Azure Security Center

2018年11月13日

Nowadays, more and more enterprises are migrating their monolith applications to run mission-critical, containerized cloud-native applications in production. Containers provide multiple advantages, both for developers and IT professionals.

Liza Mash Levin Senior Program Manager Lead, Azure Sentinel team

• Security

Control and improve your security posture with Azure Secure score

2018年10月25日

With an increasing number of recommendations and many security vulnerabilities surfaced, it is harder to triage and prioritize your response. In addition to a growing amount of information, you have…

Liza Mash Levin Senior Program Manager Lead, Azure Sentinel team

• Security

Respond to threats faster with Security Center’s Confidence Score

2018年8月22日

Azure Security Center provides you with visibility across all your resources running in Azure and alerts you of potential or detected issues. The volume of alerts can be challenging for a security…

Liza Mash Levin Senior Program Manager Lead, Azure Sentinel team

• Announcements
• Security