Featured Posts

An alert touches multiple segments of the network, representing the challenge to reduce false positives
Deep Network Observability

How to Reduce False Positives with Shared Context

False positives are rarely caused by too many alerts, but by missing context. Let’s say a spike in outbound traffic shows up in the firewall logs. Around the same time, ...

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Magnifying glass on top of a diagram that looks like both a fingerprint and a network, representing end-to-end network troubleshooting
Network Operations

Why Most Performance Investigations Start in the Wrong Place

A padlock silhouetted against a dark background, surrounded by a spray of white particles, representing password spraying detection.
Security Operations

What Password Spraying Looks Like in Raw Network Telemetry

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Blocks of data in a digital environment. Most of the blocks are clear but one is red, representing AI-powered anomaly detection
Network Security

AI-Powered Anomaly Detection: Benefits, Techniques, and Challenges

As networks scale and data volumes grow, detecting what doesn’t belong becomes increasingly difficult. Modern environments generate vast datasets

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Two text bubbles. One is green and the other is white.
Update

Ask a Question, Get an Answer: Meet the New AI Assistant in Plixer One 19.7

The 19.7 release of Plixer One introduces the Plixer AI Assistant, a new way to interact with your network

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NPMD

Machine learning takes the guesswork out of network capacity planning

It likely will come as no surprise that the machine learning (ML) market is expected to experience a compound annual

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NDR

Network intelligence with machine learning

Whether you’re monitoring an enterprise network for performance or security, you need a tool to help collect and process

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adamb
NDR

The 7 best Network Detection and Response use cases

Hallmarked by the application of machine learning to network metadata, Network Detection and Response leverages advanced intelligence and integrations

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scott
Security Operations

Malware detection using machine learning and NetFlow

Last year Plixer released version 19 of Scrutinizer, and with it came the introduction of Plixer Security Intelligence, our

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Global InfoSec Awards for Winner
General

Plixer recognized as Most Innovative NDR vendor by Cyber Defense Magazine

Plixer has been recognized by Cyber Defense Magazine’s 2021 InfoSec Award as the Most Innovative in Network Detection & Response. This award acknowledges Plixer’s continued

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scottr
Security Operations

How to detect suspicious ICMP traffic

A few years ago, we added a behavioral algorithm to Plixer Scrutinizer that looked at all the flow data

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stephen
Network Operations

First look: Plixer’s machine learning engine explained

The purpose of this blog is to de-mystify the hype around machine learning (ML) by exploring three topics: What

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what is machine learning
Security Operations

What is Machine Learning: The Hype, the Promise, and the Reality

Although the concepts of artificial intelligence and machine learning are not new, they have recently garnered mainstream attention. As

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