SBN

MixMode Recognized by CyberSecurity Breakthrough Awards Program for Overall Network Security Solution of the Year

Santa Barbara, Calif. – October 6, 2021 – MixMode, the leader in AI-driven, real-time anomaly detection for Cybersecurity,  was named the winner of the “Overall Network Security Solution of the Year” award in the 2021 CyberSecurity Breakthrough Awards program conducted by CyberSecurity Breakthrough. CyberSecurity Breakthrough is a leading independent market intelligence organization that recognizes the top companies, technologies and products in the global information security market.

“We are honored to be recognized as the leading Network Security Solution by the Cybersecurity Breakthrough Awards,” said John Keister, CEO of MixMode. “MixMode’s unique innovation in self-learning AI has allowed us to provide the world’s best security teams with faster, more effective tools to protect their enterprise from the threats of today and tomorrow.”

Cybersecurity spend has increased every year for the last decade yet over the last 5 years, successful cyber attacks have grown by over 600%. Legacy security platforms have failed to protect enterprise networks across the globe due to their constant need for human training, oversight and the rules-driven solutions they use. 

This leaves SOC teams two steps behind their attackers and only able to identify attacks that have happened in the past and vulnerable to non-signature threats. MixMode requires zero written rules to function using context-aware AI to alert security teams faster and with better accuracy to zero-day attacks.

The mission of the CyberSecurity Breakthrough Awards is to recognize innovation, hard work and success in a range of information security categories, including Cloud Security, Threat Detection, Risk Management, Fraud Prevention, Mobile Security, Email Security and more. This year’s program attracted more than 4,000 nominations from over 20 different countries throughout the world.

ABOUT MIXMODE

MixMode is a Cybersecurity platform powered by a cloud-native, self-learning AI with next generation anomaly detection and predictive capabilities. MixMode ingests and monitors large data volume environments (e.g. Cloud, Enterprise, 5G) in real time to discover zero-day threats and attacks with no signature, including those from ransomware, supply chain attacks and insider threats on Zero Trust Architecture. MixMode can be used in the cloud, edge or on premise to deliver increased productivity and efficiency for environments with IT, OT, ICS and IoT devices.

MixMode’s platform is powered by its patented self-supervised AI, which includes contextual reasoning to explain why threats are highlighted for investigation. This AI is unique in requiring no rules, no intel feeds, and no historical training data in order to operate, avoiding the bias and blindspots that impact legacy systems. MixMode AI is capable of high speed consumption of numerous big data feeds for processing in real-time and is the only DARPA-defined Third Wave AI in Cybersecurity.

MixMode Articles You Might Like:

Dependence on Log Data | The Limitations, Hidden Costs, and Additive Nature of SIEM

Dependence on Log Data | An Increasing Vulnerability to Threat Actors

MixMode Joins 5G Open Innovation Lab, Bringing Self-Learning AI to the 5G Ecosystem

10 Eye-Opening Data Breach Statistics (and How You Can Better Protect Your Network)

What is Zero-Trust in Cybersecurity?

DarkReading: Superhero Loki Lurks Like a Zero-Day Threat

What is Zero-Day Attack Identification?

*** This is a Security Bloggers Network syndicated blog from MixMode authored by Christian Wiens. Read the original post at: https://mixmode.ai/blog/mixmode-recognized-by-cybersecurity-breakthrough-awards-program-for-overall-network-security-solution-of-the-year/