Pulse Sentinel
Reasoning & Assurance

What if your monitoring systems could detect threats without moving sensitive data?

Distributed reasoning, anomaly detection and confidence scoring.

What it does

System behaviour

Pulse Sentinel helps operators understand what can be trusted.

Instead of sending raw data to a central platform, Pulse Sentinel allows local nodes to learn what normal behaviour looks like within their environment. When unusual activity occurs, the system flags anomalies and shares intelligence across the network without transferring sensitive data. This approach enables organisations to detect emerging threats earlier, reduce data movement and maintain operational security across distributed environments.

Position in the ecosystem: Within the Espanaro platform, Pulse Sentinel sits between Cognisight and Consilium. It receives raw sensor outputs and video-derived events, applies reasoning and confidence scoring, and passes validated, confidence-weighted alerts to Consilium for coordinated response.

Architecture

Data flow

How Pulse Sentinel receives, processes and produces structured outputs within the operational environment.

SOURCE / INPUT Sensors & Data Feeds Upstream Products Operator Inputs ingest Pulse Sentinel Processing & Analysis Policy Application Confidence Evaluation Structured Classification Reasoning & Assurance output STRUCTURED OUTPUT Classified Events Scored Outputs Downstream Integration FULL AUDIT TRAIL · SOVEREIGN DEPLOYMENT · AIR-GAP CAPABLE

Capabilities

Key capabilities

Core functions Pulse Sentinel delivers in operational environments.

Multi-source confidence scoring
Distributed anomaly detection
Pattern-of-life baseline analysis
Deception and spoofing indicators
Sensor reliability assessment
Conflict resolution across data sources
Collaborative detection across node networks
Confidence-weighted outputs without raw data transfer
Local node analysis and learning

Operational context

Operational use cases

How Pulse Sentinel is applied in live operational environments.

  • 01 Detecting anomalies in distributed sensor networks without centralising sensitive data
  • 02 Providing confidence scoring for operational decision-making
  • 03 Supporting edge-deployed monitoring in low-bandwidth environments
  • 04 Identifying deception or spoofing attempts across sensor networks

Integration

Data flow and integration

How Pulse Sentinel connects within the operational environment.

Inputs

Raw sensor data, video-derived events from Cognisight, network telemetry, environmental data

Product

Pulse Sentinel

Distributed reasoning, anomaly detection and confidence scoring.

Connects to

Cognisight (upstream), Consilium (downstream), existing sensor infrastructure, edge processing nodes

Outputs

Confidence-scored anomaly alerts, pattern-of-life assessments, sensor reliability ratings passed to Consilium

Professional services

Relevant services

Professional services that support deployment, integration and operation of Pulse Sentinel.

Discuss Pulse Sentinel

Discuss how Pulse Sentinel can support your mission

Tell us about your operational requirement. We will respond with clarity on how Pulse Sentinel fits your environment and what deployment looks like.