Whitepapers & Research
In this whitepaper we'll discuss the ways in which SIEM has failed to deliver on promises made to the cybersecurity industry and why cyber teams must instead turn to a next-gen platform powered by unsupervised AI.
This guide covers some of the common misconceptions about AI in cybersecurity and highlights red flags you should look for when buying a new AI-based platform.
Industry 4.0 is changing the way products are being manufactured around the world and with it comes new security threats. Learn how MixMode is working with RavenII to secure the next generation of manufacturing.
In our latest MixMode Guide we discuss the convergence of legacy network security tools and explore how security teams can upgrade their SOC with the next generation of cybersecurity tools.
Dr. Peter Stephenson of The University of Leicester reviews MixMode's Self-Supervised AI and its ability to provide actionable insights into anomalous behavior and potential threats on a network.
Learn how MixMode solves the information overload and advanced anomaly detection problem in cybersecurity by using it's advanced third wave AI to create evolving and dynamic network baselines.
In this MixMode Whitepaper, we’ll dive into the data overload problem plaguing the cybersecurity industry and uncover how organizations can greatly reduce these challenges by adopting an AI-driven solution.
Most NTA solutions are severely lacking in one foundational component: an accurate, generative baseline that evolves over time. Learn how Predictive AI is changing this for the entire industry.
This document reviews how MixMode's AI-enabled, multistream security platform empowers security teams to solve the information overload problem.
Data Sheets & FAQS
Learn how MixMode ingests and analyzes any network data stream, whether in the cloud, on premise or in hybrid environments to correlate and prioritize the work for security teams.
Here we describe the type of information that Mixmode’s AI system “looks” at for decision-making, and emphasize how it is human-like in behavior but with a substantially enhanced computational capacity.
Learn how you can deploy MixMode within your AWS environment to surface anomalies and correlate alerts across VPC Flowlogs, AWS Cloudtrails logs and on-premise network data.
Global Healthcare Exchange, LLC (GHX) has implemented MixMode as a tool to increase security and visibility into its GHX Global Network. Through its cloud-based technology, GHX serves the largest e-commerce community in healthcare, including more than 4,100 healthcare providers globally.
The security team for a defense contractor with a national/worldwide presence, selected MixMode as a core tool to increase visibility and significantly improve the IT security defenses that safeguard its networks.
Client Success Story: MixMode's AI Network Security Monitoring Platform Helps HighCastle Monitor and React to Threats with 10x Greater Efficiency
HighCastle uses MixMode’s PacketSled platform with purpose-built AI to provide continuous risk monitoring to its clients.
The world leader in compact, professional electronic test tools turned to MixMode for automated network security and visibility.
In this post, we walk through the process of identifying a watering hole attack using network and endpoint telemetry with MixMode and Carbon Black to see how widely a watering hole attack spread and what, if anything, was exfiltrated.
The false positive issue that has become prominent in the cybersecurity industry affects every usage of software designed to identify and warn against cyberattacks, security breaches, data leaks, and more. Here's how Third Wave AI solves this issue.
Network visibility & threat hunting platform provider MixMode (Formerly PacketSled) partners with managed security services providers (MSSPs) to deliver hunting-as-a-service.
When a significant portion of the world’s workforce was suddenly forced to stop attending work in the office due to the COVID-19 pandemic, many organizations were caught unprepared.
Although it is entirely possible and even potentially probable that the largest cyber security breach in history is right around the corner, it is also entirely avoidable.
If you’re uncertain whether AI is the best or worst thing to ever happen to cybersecurity, you’re in the same boat as experts watching the dawn of this new era with a mix of excitement and terror.
In this article CPO Magazine interviews MixMode CTO Igor Mezic about how 2020 will be the year that AI changes the landscape of cybersecurity defense.
To select an appropriate network detection and response solution for your business, you need to think about a variety of factors.
MixMode has closed a $4 million round of venture capital as it continues work on artificial intelligence to help companies combat cyberattacks.
Ed Amoroso of Tag Cyber dives into MixMode's approach to using unsupervised learning techniques for network visibility and advanced cyber threat detection in an enterprise.
San Diego-based company, MixMode (formerly PacketSled), makes network security monitoring software aimed at curbing the problem of false positive security alerts
Safety Detective’s Aviva Zacks had the chance to sit down with John Keister, CEO of MixMode. She found out how his company can protect us from Zero-Day threats.
Webinar: The Next Generation SOC
How MixMode is Different From Todays Security Tools
Why Choose MixMode?
What are MixMode customers saying?
How is AI Transforming the Cybersecurity Industry
Using Unsupervised AI to Help Cybersecurity Teams
What Does MixMode's Third Wave AI Do?
Combat Zero-Day Attacks with Unsupervised AI
Webinar: The Failed Promises of SIEM
How Predictive AI is Disrupting the Cybersecurity Industry
MixMode in the cloud, on premise, or in hybrid environments
Building a Network Baseline for Anomaly Detection
What are the top network security problems today?
MixMode Third-Wave, Unsupervised AI Explained
How MixMode's AI Predictive and Why That Matters
What Does AI As A Service Mean?
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