The world’s first Dynamic Threat Detection Platform
Learn about MixMode’s Dynamic Threat Detection Solutions
MixMode’s use cases for your cyber initiatives
How customers in different industries utilize MixMode
In this buyers guide you’ll learn about the many approaches to AI Threat detection and Response, what to look for, benefits, drawbacks, and everything you need to know when choosing an AI platform for your security operations center.
Several AI approaches are used in cybersecurity, but it’s hard to make sense of the noise, especially when vendors say the same thing. In our newest eBook, we’ll explore what they are and the pros and cons of each one.
In our newest eBook, we discuss the limitations of relying on endpoint alone for identifying and addressing identity-based threats and explore the importance of adopting a multi-layered approach and the right ITDR solution.
he new State of Cloud Security Report from MixMode summarizes input from 588 security professionals and reveals significant gaps in organizations’ abilities to secure cloud platforms and workloads. Despite multi-cloud adoption reaching mainstream levels, critical capabilities for cloud security, such as real-time threat detection and response, comprehensive visibility, workload protection, and data security, still need to be improved.
As enterprises rapidly migrate critical infrastructure and data to the cloud, they lose visibility and control. A recent report shows 80% of organizations encountered a significant security incident related to their cloud infrastructure within the past year.
Relying solely on legacy Security Information and Event Management (SIEM) technology is no longer sufficient to protect enterprise organizations from the rising amount of modern, ai-developed, sophisticated cyberattacks. In our newest eBook, we examine the limitations of SIEMs and emphasize the need for an AI-driven dynamic threat detection and response platform.