Platform architecture
An enterprise intelligence substrate—not a feature checklist
StellerSight is engineered as modular platform software: explicit interfaces, reproducible builds, and operational semantics suited to regulated buyers who must explain what was detected, why it mattered, and what changed.
How the company is organised
Platform IP sits under Intelligence Platforms—supported by three companion divisions
The architecture narrative ties together Sentinel, Nexus, Aegis, IntelGraph, Cortex, Vision, EdgeMind, AeroCore, RoboGrid, EmbeddedOS, CloudMatrix, InfraWatch, Labs, and Signal: named systems with commercial models, not project code-names.
Intelligence Platforms
SaaS and core proprietary products
Subscription and enterprise-licensed platforms for threat intelligence, security operations, validation, and infrastructure intelligence.
Engineering Services
Enterprise implementation & consulting
Structured programmes that deploy, integrate, and operate platform modules—scoped outcomes, documentation, and governance alignment.
Autonomous & Embedded Systems
Drones, robotics, edge systems
Lawful UAV/robotics software, edge AI, telemetry, and secure embedded stacks where programmes demand assurance.
Research & Innovation Labs
R&D, prototypes, advanced systems
Experiments and publications that convert into versioned releases—supporting technical diligence and procurement reviews.
The platform philosophy is centralised intelligence with distributed execution. Sensors and agents remain lean; the authoritative narrative emerges from correlation, ownership context, and risk posture—not isolated alerts.
Deployment targets include hybrid estates, sovereign cloud regions, and isolated enclaves where data residency and operational sovereignty are contractual—not aspirational.
Layered architecture
From raw signals to accountable action
Each layer exposes interfaces suitable for integration contracts and third-party review—supporting diligence for procurement, security certification, and architectural governance.
Acquisition & normalisation
- Streaming and batch ingestion with schema discipline
- Asset and ownership linkage—not orphaned telemetry
- Identity and cloud control-plane signals where authorised
Correlation & intelligence graph
- Entity resolution across endpoints, users, and infrastructure
- Rule and model-driven edges with provenance
- Retention and classification aligned to policy
Detection & triage
- Detector modules versioned alongside platform releases
- AI-assisted prioritisation with analyst checkpoints
- Playbooks that emit evidence artefacts—not chat transcripts
Response & orchestration
- Automation with approvals and immutable run logs
- Integrations to ITSM, SOAR, and identity systems
- Controlled testing hooks for validation programmes
Extensibility
Modular deployment & integration contracts
Customers adopt subsets of the platform surface area initially—expanding through versioned modules rather than bespoke forks.
API-first boundaries
Integration surfaces documented for identity providers, SIEM/SOAR, and asset systems.
Release integrity
DevSecOps patterns for signing, policy gates, and auditable promotion between environments.
Evidence exports
Structured exports suitable for audit, incident review, and regulator-ready narratives where scoped.
Platform diligence pack
Under engagement, we provide architecture summaries, data-flow diagrams, and control narratives suitable for enterprise security reviews—not slide-deck vapourware.