MIxmode Resources

Whitepapers & Research

Whitepaper: Actionable Anomalies - How MixMode AI Makes Your Security Data Smarter

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.

Blog: Unsupervised Learning for Cyber

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.

Whitepaper: The evolution of "next-generation" manufacturing and the need for network security

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.

Independent Whitepaper: Unsupervised AI for Complex Network Security

Dr. Peter Stephenson of The Univeristy of Leicester reviews MixMode's Unsupervised AI and its ability to provide actionable insights into anomalous behavior and potential threats on a network.

Whitepaper: MixMode AI for Network Security

In this Whitepaper we take a deep dive into the technology behind MixMode's Third-Wave AI for Network Security Monitoring

Article: Beefing Up Your Next Generation Security Tool Set

SC magazine discusses deploying a next generation – true AI and machine learning – security stack that

Case Studies

Client Success Story: Detecting an Attack not Found on Threat Intel

Learn how MixMode was able to prevent an attack on a customers network using only context-aware AI and anomaly detection.

Case Study: GLOBAL HEALTHCARE EXCHANGE TURNS TO MixMode FOR NETWORK SECURITY VISIBILITY

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.

 

Client Success Study: Nisos

Find out how Nisos used MixMode’s context-aware AI to create an evolving baselines of its clients’ networks, and quickly report anomalous activity.

 

Case Study: DEFENSE CONTRACTOR RELIES ON MixMode FOR AUTOMATED NETWORK SECURITY VISIBILITY

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.

Case Study: FLUKE TURNED TO MixMode FOR AUTOMATED NETWORK SECURITY AND VISIBILITY

The world leader in compact, professional electronic test tools turned to MixMode for automated network security and visibility.

 

Data Sheets & FAQS

Data Sheet: Predictive Security Monitoring for Your AWS Cloud Environment

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.

Blog: Using Heatmaps to Build Your Network’s Baseline

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.

Data Sheet: MixMode Network Traffic Analysis Platform

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.

Data sheet: Comparing Mixmode with Verizon NDR

A comparison between Verizon Network Detection and Response tool and MixMode's Network Security Monitoring Platform.

FAQ: MixMode's Artificial Intelligence

All of the most Frequently Asked Questions about MixMode's Best-in-Class Artificial Intelligence

FAQ: MixMode Network Traffic Analysis Platform

All of the most Frequently Asked Questions about MixMode's Network Traffic Analysis Platform

News

Is AI cybersecurity’s salvation or its greatest threat?

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.

Blog: Using MixMode and Carbon Black to Spot a Watering Hole Attack

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.

Beefing Up Your Next Generation Security Tool Set

SC magazine discusses deploying a next generation – true AI and machine learning – security stack that

CPO Magazine: AI in Cybersecurity - 2020 Predictions

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.

Interview: Safety Detective with CEO John Keister

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.

Mixmode partners with MSSPs to deliver Threat-Hunting-as-a-service

Network visibility & threat hunting platform provider MixMode (Formerly PacketSled) partners with managed security services providers (MSSPs) to deliver hunting-as-a-service.

Blog: Unsupervised Learning for Cyber

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.

E-Book: Artificial Intelligence for Cybersecurity

Using context-aware AI and Machine Learning to improve cybersecurity.

Platform to Reduce False Positive Security Alerts

San Diego-based company, MixMode (formerly PacketSled), makes network security monitoring software aimed at curbing the problem of false positive security alerts

Solving the False Positive Epidemic with Third Wave Artificial Intelligence

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.

Videos

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

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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