How it works

An essential building block for every
industrial organization – Installed
where no other vendor is located

How it works

Siga’s “incipient failure detection” technology monitors electric signals to detect process anomalies in the operation of Industrial Control Systems. SigaPlatform identifies anomalies at the earliest stage possible, so that your operators can prevent damage to people, equipment, the environment and your reputation. Siga OT Solutions employs machine learning and predictive analytics to detect process anomalies in real time, whether due to a technical malfunction or a cyber-attack.

Unique location and topology

Installed on the Input/Output lines (I/Os) between the sensor/actuator and the PLC.

Enhancing security at the process and control layers by securing level 0 (Process) and level 1 (Basic Control and Safety) layers of the Purdue reference model

No exchange of data packets

between SigaPlatform and the system it is monitoring.

OT protocol and equipment agnostic, SigaPlatform analyses electrical signals only –  not data communications. Thus, it can be connected to monitor and analyze any end device equipment or sensor connected to a PLC or an RTU, irrespective of the OEM or version.

No way to circumvent

Both SigaPlatform and the end device are isolated and out-of-band.

Transparent and unidirectional away from the operational network, Siga is fully isolated from any network hacking or interventions.

Unique
location and
topology
No
exchange
of data
packets
No
way to
circumvent

Combining hardware and software
for outstanding results

A modular, multi-tiered solution

Hardware Layer

Off-the-shelf, tried and tested
hardware components

Software Layer

Proprietary software and algorithms,
anomaly detection engine and GUI

SigaPlatform combines proprietary software installed on a server, on-site with data logging hardware connected to the ICS at the point where the PLC and the real-world device (sensor, actuator) meet.

 


 

It does this by directly monitoring raw electrical signals – rather than data packets – bringing new and unmatched visibility into physical processes, to support intelligent decision making.

/

CASE STUDIES

 

ELECTRICITY GENERATION

Accurate location of critical
malfunction avoids turbine downtime

request case study
X

PETROCHEMICAL

Fast identification of anomalies
rectifies production quantities

request case study
X

WATER TREATMENT

Utility’s SCADA system misses key
anomaly by converting electric signals to data

request case study
X

BUILDING MANAGEMENT

Monitoring of HVAC systems protects critical infrastructure from cyber attack

request case study
X