Unleashing Progress Flowmon 13: Speed, Smarts and Security Redefined
November 13, 2025
At Progress, we continue to develop and improve the Progress Flowmon product family. The latest update advances the core Flowmon product to release 13.0, offering significant performance improvements, enhanced security and expanded protocol support.
We've just proudly released new major version of our flagship product – Flowmon 8.0. The new version comes with a significant change of architecture of flow data storage. Moreover, Flowmon 8.0 extends visibility in L3, L4, L7 and improves central dashboard, reporting capabilities and brings other handy features.
New architecture of flow data storage dramatically increases number of flow sources per one collector appliance, enables new features and consequently brings new concept of profiles.
In the end of year 2015 we announced new collaboration with Cisco. By integrating Flowmon Anomaly Detection System (ADS) with Cisco’s Application Policy Infrastructure Controller Enterprise Module (APIC-EM), the companies will provide administrators with agility when provisioning quality of service and executing security policies across the entire network. Check out how Flowmon ADS and Cisco APIC-EM overcome cyber threats and secure network infrastructure.
A profile in context of Flowmon is a specific view on flow data stored in Flowmon Collector. It is defined by name, type, combination of profile filters and for a continuous type of the profile also size of allocated quota. Exceeding the quota causes an expiration of the oldest data, which is overwritten. A new feature allows to backup the profiles to defined external storage and restore them vice-versa whenever needed.
Dynamic baselining allows to respond to increasing volumes of traffic based on adaptive thresholds and defined rules. Flowmon Networks has introduced DDoS Defender for DoS/DDoS detection and subsequent mitigation in May 2015. Since version 2.0 released on October 2015, Flowmon DDoS Defender monitors traffic volume characteristics based on adaptive thresholds.