MIxmode Blog
MixMode Product Updates, Stories on Cybersecurity, AI, and Everything in Between.
ALL BLOGS
Not long ago, the concept of killware was the stuff of futuristic, doomsday movie fare. The idea that hackers could breach systems related to basic public infrastructure and health services to put people’s very lives at risk seemed scary, but far-fetched. Unfortunately, that dystopian future has, at least to some degree, arrived.
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MixMode’s Head of Sales and Alliances, Geoff Coulehan, understands first-hand the challenges current and incoming MixMode customers are facing with their unwieldy cybersecurity tool stacks.
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VPC (virtual private cloud) flow log data contains a wealth of data that can be utilized to gain a clear understanding of a network’s security posture. However, it can be challenging and prohibitively time-consuming for analysts to get a handle on the voluminous number of flow logs.
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CloudTrail is a valuable data source that provides insights into API calls used to access AWS accounts, but the service poses several high-level Cybersecurity challenges.
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When Cybersecurity teams assume that log-based platforms are the best available network security solutions, they have made a decision to invest in “bad gas.” These products will cost more and deliver less than systems enhanced by context-aware AI.
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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.
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ou may be surprised to learn that log data is proprietary to each security platform vendor. There is no standard format or even a standard labeling mechanism. Your data only has context within the parameters of your SIEM vendor.
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How sure are you that log files represent the best source of information to base your entire Cybersecurity program upon? Log data is the cornerstone of every traditional cybersecurity platform including SIEM (Security Information and Event Management), UEBA (User and Entity Behavior Analytics), and xDR (Detection and Response).
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MixMode, the leader in AI-driven, real-time anomaly detection for Cybersecurity, has formally joined the 5G Open Innovation Lab’s (“5GOILab”) Fall 2021 program. The Lab is supported by its founding and corporate partners which include Amdocs, Dell Technologies, F5, Intel, Microsoft, NASA, T-Mobile and VMware.
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While we’re seeing more data breaches than in years past, being proactive can make an enormous difference. Head-in-sand is not the optimal position for any modern organization with a network-based infrastructure. Education about the nature of modern data breaches is a great place to start.
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.