Network Swiftness Receives a Major Update
A new interface, Siemens S7 support, machine learning capabilities, and expanded industrial visibility mark the next evolution of Network Swiftness inside the Labshock ecosystem.
The feature was supposed to be demonstrated during the latest Labshock Masterclass.
For two very unexpected reasons, it did not happen.
Fortunately, the update is now available to preview in a short demonstration.
Network Swiftness has received one of its largest updates so far.
What's New
The latest release introduces improvements across usability, protocol visibility, and detection capabilities.
New Design
The interface has been redesigned to align with the broader Labshock platform.
The goal is a consistent experience across industrial environments, security tooling, and operational workflows.
Siemens S7 Protocol Support
Network Swiftness now includes support for Siemens S7 communications.
This expands visibility into one of the most widely deployed industrial automation ecosystems.
Machine Learning Detection
A new machine learning engine is capable of identifying previously unseen command behavior.
The objective is not only signature-based detection.
It is understanding protocol activity patterns over time.
Enhanced User Experience
The platform is now lighter, faster, and easier to navigate.
New views include:
- Packet View
- Message View
- Source View
- Connection View
Each layer provides a different perspective on industrial communication.
Improved Network Mapping
NetMap has been expanded with additional visibility and context.
Relationships between devices, communications, and traffic paths are easier to understand.
Expanded Statistics
Additional network metrics are now available directly from Labshock environments.
This provides deeper insight into how industrial systems communicate over time.
Why It Matters
Industrial traffic is difficult to understand.
Raw packets rarely explain what is actually happening.
A packet becomes a protocol message.
A protocol message becomes a system action.
A system action becomes process behavior.
Understanding industrial networks requires visibility across every layer.
The challenge is not collecting traffic.
The challenge is understanding its meaning.
The Goal
The direction remains simple:
Faster learning.
Deeper understanding.
More enjoyable exploration of industrial networks.
The objective is to help users move beyond packet analysis and toward operational understanding.
What Comes Next
The machine learning engine is already active.
Industrial protocol support continues to expand.
Additional capabilities are currently being developed.
Upcoming NVIDIA integration is expected to support significantly larger industrial traffic volumes and more advanced analysis workflows.
Network Swiftness is not yet positioned as a finished product.
It remains part of a larger vision focused on understanding, validating, and securing industrial environments.
Because OT security starts with understanding the system.
And understanding begins with visibility.
Watch the demo.
Then answer a simple question:
What capability should be added next?