MIxmode Blog
MixMode Product Updates, Stories on Cybersecurity, AI, and Everything in Between.
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A newly released strategic plan issued by the Cybersecurity and Infrastructure Security Agency (CISA) is urging organizations to improve on traditional cybersecurity prevention and detection approaches that focus on perimeter defense.
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In a world where bad actors are capable of building sophisticated AI capable of sidestepping traditional cybersecurity platforms, it has become critically important to onboard tools that work in real-time, are deadly accurate, and can predict an incident before it happens.
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Shannon Lawson, CISO for the City of Phoenix, and Geoffrey Coulehan, Head of Sales for MixMode recently joined forces for a fireside chat at the Evanta CISO Summit in Phoenix, AZ. Lawson and Coulehan have been partnering together for almost three years to transform the City’s cybersecurity initiatives and Security Operations Center (SOC).
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Financial Services IT Teams Relying on Legacy Cybersecurity Plagued By False Positives and Negatives
Cybersecurity teams working in financial and banking settings face a constant struggle — protecting industry regulated data with limited resources. The situation can reach a breaking point when these teams become overwhelmed managing false positive and negative flags triggered by legacy cybersecurity solutions.
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The term killware is an overarching term that covers a wide variety of cyberattack types that target the real-life health of victims. While other forms of malware are usually defined by their method — think DDoS or spear phishing attacks — killware is defined by its end result, and can include any number of methods, including malware and ransomware.
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Unsupervised learning actually draws inferences from datasets without labels. It is best used if you want to find patterns but don’t know exactly what you’re looking for.
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Hosted by Mark Ehr, Senior Consulting Analyst for 451 Research Advisors and Igor Mezic, Chief Scientist and CTO for MixMode on Tuesday, November 1st at 1pm EST / 10am PST, they will discuss why security analytics needs to include advanced Third-Wave AI, which autonomously learns normal behavior and adapts to constantly changing network environments, to address the next generation of cyberthreats and increase SOC productivity.
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Earlier this year, the Securities and Exchange Commission (SEC) announced new, stronger proposed regulations related to cybersecurity for public companies.
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Cybersecurity teams working in municipal settings face a constant struggle — protecting vital public network infrastructure with limited resources. The situation can reach a breaking point when these teams become overwhelmed managing false positive and negative flags triggered by legacy cybersecurity solutions.
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In the report, 451 Research explains why security analytics needs to include advanced Third-Wave AI, which autonomously learns normal behavior and adapts to constantly changing network environments, to address the next generation of cyberthreats and increase SOC productivity.
Read MoreAbout MixMode
MixMode is a no-rules Cybersecurity platform, serving large enterprises with big data environments across a variety of industries. MixMode delivers a patented, self-learning platform that acts as the Intelligence Layer℠ to detect both known and unknown attacks, including novel attacks designed to bypass legacy cyber defenses. This is accomplished in real-time, across any cloud or on-premise data stream. Trusted by global entities in banking, public utilities and government sectors, industry cyber leaders rely on MixMode to protect their most critical assets. The platform dramatically improves the efficiency of SOC teams’ previously burdened with writing and tuning rules and manually searching for attacks. The MixMode platform can be deployed remotely, with no appliances, in under an hour with business outcomes evident within days. Backed by PSG and Entrada Ventures, the company is headquartered in Santa Barbara, CA. Learn more at www.mixmode.ai.