EBP Integra — Enterprise Technology, Digital Trust & Strategic Protection
Intelligence • Data Fusion • Decision Intelligence

IntegraIntel — Intelligence, Data Fusion & Decision Intelligence Platform.

A governed intelligence operating platform that connects heterogeneous data, models and workflows through an operational ontology so analysts and decision makers can investigate, understand and act from one evidence-based environment.

Operational ontology

Represent the real world, not just database tables

IntegraIntel models people, organizations, assets, events and relationships as governed objects that can support analysis and operational workflows.

Example entity model: Person → Organization → Account → Device → Vehicle → Location → Transaction → Communication → Event → Asset → Case. Relationships, time, location, provenance and permissions are preserved as first-class context.
Platform capability model

From source data to operational decisions

A modular architecture supports investigation, decision intelligence and controlled operational workflows.

DF

Data Fusion Engine

Ingest or federate structured, unstructured, streaming, document, API, IoT, geospatial and authorized external data.

ER

Entity Resolution

Identity matching, duplicate resolution, fuzzy matching and confidence-scored relationship discovery.

KG

Knowledge Graph

Entity relationships, link analysis, graph traversal, temporal links, communities and path analysis.

GS

Geospatial Intelligence

Map layers, movement analysis, geofencing, spatial clustering, route and proximity analysis.

TM

Temporal Intelligence

Event timelines, sequence analysis, historical reconstruction, anomalies and recurring patterns.

IW

Investigation Workspace

Case management, evidence collection, analyst notes, hypotheses, watchlists, tasks and collaboration.

AI

AI Intelligence Assistant

Natural-language investigation, evidence-grounded RAG, entity summaries, relationship explanation and report drafting.

DI

Decision Intelligence

Scenario analysis, prioritization, recommended actions, workflow orchestration and approval-based decision support.

AC

Controlled Actions

Governed actions and writeback to authorized systems through approvals, policy checks and complete audit trails.

PV

Provenance & Lineage

Trace every output back to source, transformation, model version, analyst action and evidence confidence.

SC

Security Controls

Classification, RBAC/ABAC, purpose-aware rules, field/object restrictions, encryption, audit and tenant isolation.

OP

Operational Applications

Domain-specific dashboards and workflows for analysts, operators, executives and field teams.

Reference architecture

Operational intelligence architecture

Connect source systems to a semantic decision layer without removing the authority of underlying systems of record.

Enterprise & external sources
Databases • APIs • documents • logs • telemetry • geospatial • OSINT • threat intelligence • business systems
Data fabric
Connectors • federation • pipelines • schema mapping • quality controls • metadata • streaming
Ontology & intelligence graph
Objects • relationships • events • geospatial/time properties • entity resolution • source provenance
Analytics & AI
Graph analytics • ML • anomaly detection • scenario analysis • RAG • AI assistants • agentic workflows
Operational applications
Investigations • command centers • dashboards • cases • alerts • watchlists • controlled actions
Security & governance
Identity • classification • purpose • retention • encryption • approvals • audit • lineage • human accountability
Intelligence fusion

Connect IntegraIntel and IntegraNarrative

Narrative signals become more useful when enriched with entities, organizations, infrastructure, locations and historical events.

IntegraNarrativeNarrative • influencer • cohort • amplification
IntegraIntel enrichmentOrganization • domain • infrastructure • location • event • relationship
Unified intelligence graphEvidence • context • risk • decision support
Principle: correlation does not equal attribution. Analyst confidence, source provenance and review remain mandatory for consequential decisions.
Deployment & sovereignty

Enterprise deployment choices

Architecture is selected according to source sensitivity, regulatory obligations, operational criticality and client control requirements.

Deployment
  • SaaS where appropriate
  • Private cloud
  • On-premise
  • Hybrid / federated
  • Air-gapped for qualifying environments
Security by design
  • Zero Trust and strong IAM
  • RBAC / ABAC / purpose-aware access
  • Encryption and secrets management
  • Immutable audit and data lineage
  • SIEM / monitoring integration
Delivery model

Build around decisions, not dashboards

Start from decision workflows and intelligence requirements, then configure data, ontology, analytics and applications around them.

AssessMap decisions, entities, users, sources, risks and governance requirements.
DesignDefine ontology, access model, integration, analytics and operational applications.
ImplementConnect sources, resolve entities, build graphs, models, cases and action workflows.
OperateMonitor data quality, intelligence outcomes, model behavior, access and continuous improvement.