Architecture

Explore how SentriScope is structured—from system overview through data, security, connectors, intelligence, attack graph, and LLM layers.

Topics

Articles

  • SentriScope System Architecture

    High-level system architecture for SentriScope: multi-tenant Django SaaS layers, application responsibilities, host routing, and platform invariants.

  • Canonical Data Model

    Public-safe explanation of SentriScope canonical entities, normalization, and provenance without internal schema internals.

  • SentriScope Data Architecture

    Canonical data layers, provenance model, severity normalization, risk scoring architecture, and database strategy for tenant-scoped security intelligence.

  • SentriScope Security Architecture

    Defense-in-depth security model covering operator scope boundaries, RBAC, encryption, connector security, LLM data masking, and SOC 2 control mapping.

  • SentriScope Connector Architecture

    Governed connector ingestion lifecycle, idempotency model, supported integrations, trust tiers, and control effectiveness strategy.

  • SentriScope Intelligence Architecture

    Global Intelligence Dashboard, CTI lifecycle, threat actor profiling, IOC correlation, feed API, and investigation platform evolution.

  • SentriScope Attack Graph Architecture

    Snapshot-based attack graph materialization, edge taxonomy, path queries, entity correlation, and performance guardrails.

  • SentriScope LLM Architecture

    Natural language to SQL pipeline, semantic registry, query modes, schema grounding, guardrails, and platform-level LLM configuration.