Vardar connects OT network activity to its impact on the physical process, so Operations and Security can tell quickly whether an incident is operational, cyber, or both. One on-site Edge AI system, one evidence-backed decision.
Raw OT data and the learned site model stay inside the customer environment.
One path deviates from the learned model. Under investigation, not an alarm.
Network and process evidence agree and point at manipulation. Classified Cyber, with the next check named.
A person has confirmed the evidence. Vardar never declares this on its own.
ON-SITECustomer-controlled edge hardware
AIR-GAP READYNo cloud dependency for site operation
READ-ONLY STARTSPAN / TAP and approved evidence
LOCAL DATARaw plant data remains inside the site
Vardar compares two independent evidence paths. Agreement raises confidence. A single path remains under investigation instead of becoming another confirmed cyber alert.
Security sees commands and alerts. Operations sees equipment and process data. Neither view says whether the plant is at risk.
Vardar reads both paths against the learned site model. Agreement raises confidence; a single abnormal path stays under investigation.
One classification for both teams: Operational, Cyber, Mixed or Unknown, with the evidence and the next check attached.
Everything that decides anything runs on one appliance inside the site boundary. Mirrored traffic and read-only process data in, findings out, nothing raw leaves.
A dedicated local appliance observes OT traffic and process data without issuing control commands. It learns how this site behaves and keeps that model on the premises.
A passive SPAN or TAP connection. Nothing is in the path.
Assets, zones and process context, learned from what the site already does.
Anomalies in network behaviour and process signals, checked against each other.
A plain-English why and a recommended next check, inside the customer boundary.
Evidence and explanation
Customer-defined playbooks
Human or workflow gate
Scoped integrations when enabled
Neither is a customer site. Commissioning results are measured per site, on that site.
Public academic water-treatment testbed (iTrust, SUTD). Labelled attacks against a live physical process.
Repository-generated Modbus/TCP traffic with synchronised simulated separator values. No customer data.
The product film: the decision, the two evidence paths, the appliance and the boundary.
A finding from first alert to governed next step, in the console.
Detect physical process changes that network-based tools cannot see.
Fewer false positives, because a single evidence path stays under investigation.
Flag cyber incidents with a much higher likelihood of representing real threats.
Security and Operations work the same evidence instead of two alert queues.
Vardar produces the on-site monitoring, classification and evidence trail that these frameworks ask operators to show.
Internal network security monitoring for bulk electric systems
Risk and resilience assessment for water systems
Pipeline cybersecurity monitoring and reporting
Incident detection and reporting for essential services
Zone and conduit monitoring for industrial automation
Bring three to five questions your Operations and Security teams currently answer in separate tools. We will map the evidence, success criteria and governance to a scoped evaluation.
Prove it on one site before you scale it.
contact@vardar.ai