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Various network nodes with security locks, representing encrypted traffic visibility

How To Investigate Encrypted Traffic Without Decrypting It

Most malicious traffic is encrypted, and in real environments, you usually don’t have the keys to inspect it. You can still investigate encrypted traffic effectively by analyzing behavior such as who is communicating, how often, how much data is transferred, and when that behavior ...

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Representation of lateral movement: attack spreads through a network from a central point

How To Detect Lateral Movement: A Step-by-Step Guide

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

How Network Anomaly Detection Works (And Why It Matters)

Cloud network security: a representation of the cloud in a digital space

Network Troubleshooting: How To Diagnose Network Outages Faster

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

How to Reduce False Positives with Shared Context

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A visually striking image of cloud infrastructure, showcasing interconnected servers and data centers with a futuristic and technological aesthetic

Uncategorized

Plixer One Expands Cloud reach and Supercharges AI and UX

Plixer is excited to announce the latest release of Plixer One, now delivering extended support for Oracle Cloud Infrastructure

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A representation of cyber threat intelligence: chess pieces on a map of interconnected nodes

Network Security

Cyber Threat Intelligence (CTI): From Reactive to Proactive Security

As attackers grow more sophisticated and persistent, organizations are shifting from reactive defense to proactive strategy. That’s where cyber

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Representation of lateral movement: attack spreads through a network from a central point

Security Operations

Understanding Lateral Movement: How Attackers Navigate Your Infrastructure

Lateral movement refers to the techniques attackers use to move through a network after gaining initial access. Instead of

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A representation of network observability: many nodes on a network, which are all interconnected

Deep Network Observability

Understanding Network Observability: A 2025 Guide for NetOps

A trend of this decade is that we’re being flooded with information and data points. Certainly, an overabundance of

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A man struggles to push a boulder uphill, representing the cost of an inflexible network.

Network Operations

Opportunity Cost and the Inflexible Network

At a former job of mine, there was a tool that most of the company used but nobody liked.

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Visualization of data streams traversing a university campus

Deep Network Observability

Three Ways Universities Use Plixer One to Solve Common Network Problems

With thousands of users and connected devices, ensuring network reliability, security, and compliance is a significant challenge for universities.

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Data stream abstract concept

Network Operations

Why We Hate Direct Exporter-Collector Configurations

Odds are you have a lot of devices on your network that export data somewhere—whether that’s to a traffic

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Feature image of a stopwatch, representing MTTR

Network Operations

Understanding MTTR (Mean Time to Respond) and How to Reduce It

Because system downtime can have serious financial and operational consequences, NetOps teams often find it useful to track MTTR

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Image showing gears inside of a dim lightbulb

Deep Network Observability

The Network Operations Paradox: Why More Automation Often Leads to Less Understanding

Author: Nils Werner, Director of Customer Success Here’s an uncomfortable truth: As our networks become more automated, many teams are

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