Siren Partners With Elastic to Cater to U.S. Public Sector

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Siren scores a winning partnership with digital search and big data company Elastic, the makers of Elasticsearch and Elastic Stack to deliver solution for organizations and institutions within the U.S. Federal marketspace

Investigative intelligence platform, Siren has signed an OEM partnership with Elastic and as per the agreement, Siren will embed the commercial distribution of Elasticsearch into its platform to provide solutions for institutions within the U.S. Federal marketspace. The news comes on the heels of $10 million fundingOpens a new window Siren raised earlier last year.

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John Randles, CEO of Siren, said: “Our relationship with Elastic is driven by client demand and reflects the appeal of each solution to the Law Enforcement and Intelligence communities in particular. The demand for investigative intelligence and large-scale interconnected data analysis is accelerating rapidly. Our platform, combined with Elasticsearch, uniquely enables this in real-time at a scale that government organizations require. In addition, we see great potential for the combined solutions in providing state of the art link analysis capabilities and real-time correlations to the cyber domain.”

New Solution by Siren and Elastic

Talking about joining forces, Randles states that combining Siren and Elastic will allow customers to have access to a single integrated and supported solution from the point of data ingestion through the investigative analysis and workflow process. Siren also extends the native Elasticsearch capabilities via a plugin which can perform real-time big data correlations (joins) within Elasticsearch clusters, a critical capability for the Analyst community in the Federal Government.

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Based on this core technology Siren also provides:

  • · Knowledge Graph concepts, driven by a user-defined associative data model – powering explorative associative data navigation and link analysis
  • · Support for advanced graph/map/timeline fusions, custom
  • ·Support for real-time unstructured and noisy content analysis with topic clustering, NLP, Entity Resolution
  • ·Support for “on-demand” data integration with Web Service interfaces and custom scriptable workflows
  • ·Fusion of Elasticsearch data with that in other backends, with support for dozens of different backends, also with no ETL requirements.

With Elasticsearch, the platform can now identify and relate callers from different areas and times, find connections at scale between indices, and conduct before/after event investigations at scale.

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