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!
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.
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.
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.
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.
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.
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.
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.
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.
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.
MixMode has been recognized as one of the best tech startups in Santa Barbara in 2022. This is the third year that MixMode has been recognized by The Tech Tribune for this honor.
Keeping up with security alerts can be a Herculean task without the right tools on board. Security teams face more than 11,000 alerts per day on average, according to industry analysts — including thousands of false positives triggered by legacy security solutions.
MixMode’s Head of Sales and Alliances, Geoff Coulehan, discusses the data retention cost and challenges that arise when legacy cybersecurity platforms require historical data to be organized in a proprietary format for after-the-fact investigation processes.
Chief Scientist and CTO for MixMode, Igor Mezic, wrote this article for Forbes magazine on the advantages of moving away from a legacy rule-based cybersecurity platform to a third-wave AI platform that can better detect zero-day threats.
Trying to decipher Cybersecurity jargon can feel like trying to make sense out of a spoonful of alphabet soup. Is your SIEM equipped with sufficient NTA? What about your XDR? Or wait, was it NDR? What’s IRM, anyway? And whatever happened to UEBA?
Ransomware attackers often find government networks to be lucrative sitting targets that are often largely left unprotected against modern threats. As CNN reports, state and local governments tend to lack enough money and personnel to effectively mitigate these threats.
MixMode’s CTO and Chief Scientist, Dr. Igor Mezic, discusses the challenges of rules-based cybersecurity systems. He focuses on the workflow issues for security analysts that operate in first and second-wave AI (rules-based) cybersecurity tools.
It’s no surprise that organizations are pouring resources into their security approaches, from investments into hardware and software and significant increases in Cybersecurity professional hiring. In fact, industry watchers expect organizations globally to contribute to $1.75 trillion in cumulative spending on Cybersecurity between 2021 and 2025.
An annual Harvey Nash Group/KPMG survey of CIOs and other IT leaders revealed that companies spent about $15 billion more each week in the early part of 2021 on work-from-home investments, a figure that represents one of the largest upticks in tech investment in history, according to Harvey Nash/KPMG.
As Forbes reports in the recent article, “The 7 Biggest Artificial (AI) Trends in 2022,” the World Economic Forum identified cybercrime as “potentially posing a more significant risk to society than terrorism” in 2021.
