Prahari Line · Flagship · PRAHARI–CMD

Prahari Command

A unified situational-awareness dashboard that fuses every deployed TensorLabs module — perimeter cameras, installation guards, traffic surveillance, maintenance QA, and personnel systems — into a single, commander-facing view.

Function

Data fusion & visualization

Autonomy

None — human review required

Deployment

Fully on-premise / air-gapped

Request a briefing → Read the governance model

What it does

One pane of glass, not one point of failure.

Every TensorLabs module already produces its own alerts and logs. Command doesn't replace them — it correlates them, so a duty officer sees one coherent picture instead of six separate consoles.

Data Fusion

Unified event stream

Every detection from ViZSense, Argus Guard, Argus Traffic, and Certus streams into one live map and timeline
Events are correlated by location, time, and unit — not viewed as isolated alerts
Historical playback for after-action review and investigation

Role-Based Views

Right information, right person

Duty officers, unit commanders, and administrative staff each see the view relevant to their role and clearance
Personnel-status and workshop/equipment-status panels sit alongside security events
Configurable alert thresholds per site and per role

Governance model

Human-in-the-loop, by design — not by policy alone.

Scope

Situational awareness and information fusion only. Command displays and correlates data from sensors and detection modules for human decision-makers.

No effector control

Command does not control weapons, sensors, or effectors of any kind, and includes no autonomous engagement or targeting capability, in any configuration.

Human authorization

Every action the platform surfaces — an alert acknowledgment, a lock-down trigger, an escalation — requires explicit human review and authorization. Nothing fires automatically.

Auditability

Every alert, override, and acknowledgment is logged with timestamp and operator ID, for after-action review and command accountability.

Data boundary

Deployed entirely within the unit's own infrastructure. No data leaves the perimeter; there is no external or cloud dependency in the defense configuration.

Architecture

How the modules converge

VZ ViZSense · AG Argus Guard · AT Argus Traffic · CT Certus · MD Meridian · CP Cipher

Rollout

How units typically adopt Command

Step 1

Prerequisite modules. Command requires at least two other TensorLabs modules already deployed at the site — it has nothing to fuse otherwise.

Step 2

Discovery workshop. Map which event types and roles matter most for this establishment's command structure.

Step 3

Single-site pilot. Stand up the fusion layer for one site's existing modules before wider rollout.

Step 4

Phased scale-up. Extend to additional sites and modules once the pilot's audit trail and role model are validated.

Prahari Command

One pane of glass, not one point of failure.

Unified event stream

Right information, right person

Human-in-the-loop, by design — not by policy alone.

How the modules converge

How units typically adopt Command

Modules that connect to this platform

ViZSense

Argus Guard

Argus Traffic

Certus

Meridian

Cipher