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
As organizations grapple with the limitations of legacy security controls in the face of increasingly sophisticated cyber threats, integrating AI-driven threat detection and response capabilities presents a compelling opportunity to bolster their defenses.
According to recent studies, over 80% of data breaches are attributed to compromised credentials, highlighting the critical need for robust identity threat detection solutions.
User identity data is a fundamental piece of safeguarding sensitive information, critical systems, and digital assets. Understanding and monitoring how users interact with technology, their access patterns, authentication habits, and overall digital behavior is essential for proactive threat detection and mitigation.
We explore why identity threats are so hard to detect, the limitations of legacy threat detection solutions, the types of identity threats organizations face, recent examples of identity breaches, and the role of Advanced Behavioral Detection Analytics Enhancing with AI in stopping identity-based attacks.
Gartner recently released their annual Emerging Tech Impact Radar: Security. This report analyzes 23 emerging technologies and trends that will shape the future of cybersecurity products and services. It provides insights to help security leaders develop strategies and roadmaps to capitalize on these innovations.
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.