MixMode Inc., a leading global provider of Artificial Intelligence-powered Cybersecurity, announced that the company was recognized as a supply side innovator in the November 2021 Gartner report: Emerging Technologies: Tech Innovators in AI in Attack Detection — Supply Side.
“Enterprises today utilize Cybersecurity systems that are largely reliant upon rules-based approaches, limiting detection to only known attacks. Cybercriminals and adversarial nation-states exploit these legacy systems, exposing organizations to ransomware and novel zero-day attacks,” said John Keister, CEO of MixMode. “We are excited to highlight the importance of going beyond rules-based and intel-based approaches and using advanced AI to address both known and novel threats. MixMode is honored to be recognized in the AI-enabled Attack Detection category.”
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MixMode is an AI-powered Cybersecurity platform that utilizes self-learning, third wave AI to identify advanced threats in any environment. MixMode can detect the full spectrum of known threats as well as unknown and never-before-seen threats like zero-day attacks. In addition, MixMode helps the world’s best security teams increase efficiency and innovation in the SOC by acting as a system of record to augment or replace traditional security tools (e.g., SIEM, NDR, NTA, UEBA).
“Artificial Intelligence is among the most important advancements to technology today and its adoption in Cybersecurity is a necessary step towards achieving security for every organization,” said Dr. Igor Mezic, Chief Scientist and CTO of MixMode. “Effective Cybersecurity platforms require being built on a foundation of unsupervised and self-learning AI. Our patented third-wave AI powers all aspects of our MixMode platform, bringing advanced security to organizations in real time.”
Learn more about MixMode as a Supply-side innovator in AI enabled Attack Detection in the Gartner report here.
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*Gartner, “Emerging Technologies: Tech Innovators in AI in Attack Detection — Supply Side”, Swati Rakheja, Mark Driver, Elizabeth Kim, November 2, 2021.
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