Greinfort / Security Alert Detection
Detect the obvious.
And what doesn’t have a signature yet.
Five detection strategies working together to uncover anomalies, known attacks, behavioural deviations and early indicators of compromise.
Detection rules • Industrial IDS • Machine Learning + UEBA • Process Mining • Industrial Honeypot
What if the attack doesn’t look like anything you’ve seen before?
In OT, looking only for known threats is not enough. A port change, a new communication, a deviation in device behaviour, interaction with an industrial decoy or a change in a process pattern can all be early signs of a larger issue affecting information security or the physical safety of employees and/or consumers.
OT Switch 192.168.10.1
PLC-01 Siemens S7
HMI Panel 192.168.10.22
OT Server 192.168.10.30
Sensor-12 Modbus TCP
Robot-04 Line 2
Honeypot Industrial decoy
The capability
Analysis of anomalies in industrial processes.
Detection Rules
Identification of known suspicious events and behaviours.
Industrial IDS
Detection using up-to-date threat signatures.
Machine Learning + UEBA
Process Mining [WPML-TEMP]
Process Mining
Analysis of anomalies in industrial processes.
Industrial Honeypot
Information |
Alert detected · ALT-024 |
|---|---|
| Severity | High |
| Affected asset | PLC-03 |
| IP address | 192.168.10.43 |
| Alert type | Anomalous communication |
| Evidence | 3 associated events |
| First detected | 24 Aug 2026 | 10:42 |
| Last event | 2 min ago |
| Correlation | 4 related alerts |
| SIEM integration | Sent |
| Notification | IT-OT Manager |
| Traceability | Complete record |
Context-rich alerts for better decisions.
Greinfort combines static rules, intrusion-detection signatures, machine learning, process mining, UEBA and industrial honeypots to analyse the network from multiple angles.
It can alert on new devices, unusual connections, attack signatures, deviations from learned behaviour, process anomalies and activity against decoy services, covering a broad range of potentially disruptive security incidents that could cause financial, reputational or even human harm.
From detection to context
Greinfort does more than generate events. It correlates signals from different sources and presents them with the context needed to understand what happened, which assets are involved and what the potential operational impact may be.
Detection matters. Understanding what each alert means is what enables better decisions.
Fewer blind spots
More context
Faster response
A single detection technique always leaves blind spots.
Greinfort does not rely on a single strategy. It layers different risk-detection techniques as part of a defence-in-depth approach. If one layer misses an event, other layers remain available to help detect and mitigate it.
This improves detection effectiveness, reduces noise and gives the team contextual alerts rather than random events in a console.