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Fl0wer

Network Intelligence and Accountability platform for enterprise infrastructure visibility and security compliance

Security / PrivacyLaunched Aug 2026

The story

Fl0wer is a powerful and flexible network intelligence software platform designed to solve visibility and security problems in network infrastructure. It enables organizations to monitor network usage compliance (accountability) and trace traffic metadata to identify issues that would otherwise remain invisible. Built with a client-server architecture using Netflow, IPFIX, and sFlow protocols, Fl0wer analyzes both IPv4 and IPv6 traffic flows and operates on Linux environments. The platform synthesizes over twenty years of network administration experience to provide real-time network monitoring and security insights.

Overview

Fl0wer is a network intelligence platform that provides comprehensive visibility and accountability for enterprise network infrastructure. It collects and analyzes network traffic metadata through Netflow, IPFIX, and sFlow protocols from routers, firewalls, switches, and virtualization platforms. The platform is designed for network administrators and security teams who need to understand actual network traffic patterns, detect anomalies, and ensure compliance with privacy regulations like GDPR and LPD. Fl0wer operates with a distributed control infrastructure that can be deployed in hours rather than days, offering features like real-time traffic matrix creation, geolocation analysis, anomaly detection, and integration with standard analytics tools like Elasticsearch and Splunk. The core is written in C with multithreading support and includes a Lua interpreter for custom scripting, REST APIs for integration, and both GUI and CLI tools for analysis and reporting.

Key features

Distributed Network Control Infrastructure

Deploy Netflow, IPFIX, and sFlow-based network monitoring in hours using a client-server architecture compatible with routers, firewalls, switches, and virtualization platforms.

Real-Time Traffic Matrix Analysis

Create near-real-time traffic flow matrices to understand actual network usage patterns and validate firewall filtering policies across your infrastructure.

Anomaly Detection and Threat Identification

Automatically detect horizontal and vertical network scans, Tor connections, P2P traffic, and suspicious patterns with integrated Lua scripting for custom responses.

Privacy-Preserving Geolocation and Analytics

Enrich traffic data with geolocation and probabilistic analysis while maintaining user privacy, with seamless integration to Elasticsearch, Splunk, and OLAP databases.

Compliance and Policy Reporting

Generate detailed PDF and text reports highlighting policy violations, unauthorized connections, covert channels, and traffic outside known flow matrices for regulatory compliance.

Automated Security Controls

Automatically filter traffic from bogon networks and blacklisted IPs, detect cryptocurrency and social network traffic, and execute custom actions based on traffic rules.

Use cases

  • 1

    Network Security and Threat Detection

    Identify unauthorized access attempts, malware scanning patterns, and suspicious traffic flows to strengthen network defense and respond to threats in real-time.

  • 2

    Compliance and Accountability

    Demonstrate network usage compliance with GDPR, LPD, and internal policies through comprehensive traffic auditing and reporting capabilities.

  • 3

    Cloud Migration Planning

    Analyze actual IP traffic matrices to understand real network dependencies and optimize cloud migration strategies with accurate usage data.

  • 4

    Network Optimization and Firewall Tuning

    Optimize firewall rules and network policies by gaining visibility into actual traffic patterns and eliminating unnecessary or inefficient filtering rules.

FAQ

What protocols does Fl0wer support?

Fl0wer supports Netflow, IPFIX, and sFlow protocols for collecting network traffic metadata from network devices, firewalls, switches, load balancers, virtualization platforms, and server agents.

How quickly can Fl0wer be deployed?

The ISO installs in about 30 minutes, just provide it your network subnets and point your Netflow/IPfix/sFlow collectors to it.

What integrations are available?

Fl0wer integrates with standard analytics tools including Elasticsearch, Splunk, Syslog, and OLAP databases like Clickhouse for data analysis and reporting.

Can Fl0wer help with GDPR compliance?

Yes, Fl0wer is specifically designed to provide the accountability and network visibility needed to comply with privacy regulations like GDPR and LPD while maintaining user privacy.

What is the pricing model?

Fl0wer uses a fixed pricing model that does not scale with network growth, making it cost-effective for organizations of any size.

Tech stack & tags

#c#lua#python#netflow#ipfix#sflow#elasticsearch#splunk#clickhouse#network monitoring#traffic analysis#security compliance#gdpr#privacy#infrastructure#netflow#accountability

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