Cybersecurity & Intelligence
Data Fusion and Link Analysis
We unify independent data sources into a single connection graph and surface relationships that are otherwise invisible.
Data fusion — Palantir-style platform architecture — merges data scattered across your organisation's systems (CRM, ERP, SOC logs, OSINT feeds, public records, document archives) into a single graph; queries against that graph answer in minutes. Questions like "this phone number appeared in which incident last month, who is connected to it, which decision rests on this chain?" — once a multi-hour manual exercise — become a single click.
Scope
- Single graph model produced from heterogeneous data sources (structured + semi-structured + document + log)
- Entity resolution — recognising the same person/company/asset across different systems and merging them
- Link analysis — graded proximity + timeline querying
- Authorisation layers — which role sees which node, which relationship is queryable
- AIGENCY V4 integration — natural-language graph queries ("all communication between X and Y on this date")
How we work
- Data source mapping + access/authorisation design (KVKK compliance is an architectural decision)
- Graph schema + ETL pipelines deployed on Neo4j or our AIGENCY V4 platform
- Training + pilot use — support until your users can phrase operational questions in natural language
Typical engagements
Judicial / prosecutor units — person-event-place relationship maps across large case files
Banking fraud prevention — account-device-IP-behaviour pattern correlation
Municipal / public sector — relating citizen service requests, infrastructure events, social-media sentiment
Tools and technologies we work with
Neo4jApache TinkerPopAIGENCY V4ElasticsearchCustom Graph DB
Talk to our team about this service
Let's evaluate your project's scope in a free preliminary call. The 30-60 minute call delivers a budget range and a proposed approach.
Get in touch