Cloud Security Blogs
The latest stories on Cybersecurity, AI, and everything in between from MixMode
The main challenge many of the cybersecurity products on the market today struggle to overcome is the difficulty of monitoring multi-cloud environments. Many are only capable of handling pieces of one environment rather than giving an enterprise visibility across all of their environments. This leaves costly gaps in their security posture and significantly increases the likelihood of an attack.
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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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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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MixMode’s VP of Engineering, Jeff Behl, discusses the limitations of cloud security solutions that come “out of the box” from cloud providers like AWS. While initially, the rules-based solutions do provide a level of security, Behl warns about the challenges of zero-day attacks as well as the overwhelming amount of alerts that fatigue security teams.
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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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MixMode is proud to release our platform sensor for Google Cloud! With this capability, customers can now monitor their Google Cloud infrastructure for security anomalies and zero-day attacks, using the same industry-recognized MixMode platform enterprises already use for on-premise security monitoring, Amazon Web Services monitoring, and Microsoft Azure monitoring.
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For the past few years, many have been talking about the changing “threat landscape” as it pertains to the increase in zero day, insider and phishing threats. While all of these threats are on the rise, and constitute a concern, there is, perhaps, an even larger shift presenting a threat to enterprises – the shift […]
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Our engineering team has been working hard to deliver on the promise that MixMode offers a heterogeneous, “single pane of glass” view and analysis into multiple kinds of workloads.
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Recent advances in cloud data storage capabilities have changed the way many organizations handle data and conduct business. While the expansion of cloud data represents new opportunities for growth, these organizations will have to confront new and emerging security threats unique to the cloud. Cloud Storage Security Challenges These five cloud security threats do not […]
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About 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.