MIxmode Blog
MixMode Product Updates, Stories on Cybersecurity, AI, and Everything in Between.
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With the announcement of our Series B fundraising round, 2022 has catapulted us into a hyper-growth period for our company. With new team members joining rapidly and our product expanding exponentially, it was time that we hosted the first ever MixMode Summit!
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The number of zero-day exploit discoveries hit record numbers in 2021, according to Google Project Zero. Instances of “in-the-wild 0-days” were up nearly double versus 2020, when only 25 0-day exploits were detected. In 2021, the total was 58.
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Many organizations rely on neural networks driven by machine learning that relies on the accuracy of manually constructed training data. Training data errors lead to overlooked anomalous behavior and, often, mountains of false positive and negative flags that have to be reviewed by human analysts.
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Holistic insight into how high-level information is tied to specific accounts users is central to launching an effective security strategy. Unfortunately, all too often, SOC analysts find themselves applying human intelligence and comparing spreadsheet data to arrive at potential correlative values that may or may not be helpful or even accurate.
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It is increasingly more common for organizations to adopt cloud computing in a hybrid fashion, keeping some on-premise infrastructure in place while moving select data to the cloud. While this approach may save on costs in the short term, hybrid solutions complicate organizational security postures.
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When it comes to cybersecurity, more is not always better. As new solutions have emerged in response to rapidly evolving technology and increasingly sophisticated cyber attacks, SOCs have added tool after tool to their arsenals.
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Experts have warned that the Russia-Ukraine conflict poses an unprecedented cyber risk for U.S. organizations as well as State and local governments and municipalities.
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Many vendor claims are unclear as to what they’re promising in this space, but they are quite insistent that without Zero Trust network architectures, organizations are at great risk for data breaches and other network sabotage.
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MixMode is excited to announce that we have raised $45 million in a Series B funding round led by PSG with participation from our existing investor Entrada Ventures.
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MixMode’s Head of Sales and Alliances, Geoff Coulehan, shares how MixMode was able to identify critical risk factors coming from inside bad actors that had gone undetected by a large U.S. city’s SIEM and UBA platforms despite their multi-year deployments and their decision to decommission their User Behavior Analytics (UBA) platform.
Read MoreAbout MixMode
MixMode is the first to bring a third-wave, context-aware AI approach that automatically learns and adapts to dynamically changing environments. MixMode’s monitoring platform, PacketSled, better understands network behavior as it adapts to baseline changes and enables both misuse detection and anomaly detection, as well as predictive maintenance. Used by enterprises and MSSPs for real-time network analysis, threat hunting and incident response, the platform leverages continuous stream monitoring and retrospection to provide network forensics and security analytics. Security teams can integrate PacketSled into their orchestration engine, SIEM, or use PacketSled independently to dramatically reduce false positive alerts and the resources required to respond to persistent threats, malware, insider attacks and nation state espionage efforts.
The company has been named an innovator in leading publications and by security analysts, including SC Magazine, earning a finalist award in 2018 and 2019 for "Best Computer Forensic Solution.” Based in Santa Barbara, with offices in San Diego, the company is backed by Keshif Ventures and Blu Venture Investors. For case studies, continuous product updates and industry news, please visit us at www.mixmode.ai.