Siren open source intelligence goes one louder, to 11.0

Ireland-based Siren didn’t just make ten one louder, the company has pushed its open source investigative intelligence analytics technology to version 11.0 this month.

Siren 11.0 is designed to serve investigative data teams so that they can conduct Signal Intelligence (SIGINT), Cyber Intelligence (CYBINT) and Open Source Intelligence (OSINT) investigations. 

Previous versions of Siren focused on smaller teams and required the creation of separate environments per use case.

The new 11.0 goes one louder and introduces support for parallel analyst teams to investigate data in segmented, case-specific data environments. 

In addition, new functionality has been added including advanced support for Natural Language Processing (NLP) and the ability to spatially track moving data points.

According to Dr. Giovanni Tummarello, founder and chief product officer at Siren, the original version of Siren focused on advancing the exploration of big data. 

“With Siren 11 we are extending that vision to incorporate the required features for the SIGINT, CYBINT and OSINT domains. This is then coupled with the ability for teams to collaborate and create workflows. When analysts are looking to keep people, financial assets and networks safe, teamwork beats individual effort every time,” said Tummarello.

Dashing dashboards, delectable data models

Also here, we can see that 11.0 introduces templates for SIGINT, CYBINT and OSINT providing example dashboards, data models, and supporting web services that address some of the most critical problems in national security. 

The templates enable analysts to visualise device positions in real time or historically at a scale of billions of records, perform contact tracing based on device positions and find aliases. 

For Natural Language documents (OSINT), 11.0 enables users to visualise and interact with NLP annotated text. It also supports revisions of wrong annotations and creates streams of feedback for the team responsible for the NLP engine. 

“The Jira integration enables users to disseminate artifacts far more easily. In terms of the investigative process, this means analysts can audit search and investigative workflows, append dashboards to workflow tickets, support legal discovery and compile leadership reports. In essence, making the process far more transparent, easier to measure, and evaluate. For each investigation, a dataspace can be created to assist in justification and playback,” notes Siren, in a press statement.

Across the industry, there is a growing demand for more support for unstructured data and analysts are demanding more control so that they can override NLP if required. In 11.0, there is enhanced support for NLP of unstructured data to allow taxonomy overrides by analysts. 

New functionality here also includes data editing which enables data analysts to revise original content and annotate – annotations are crucial if analysts are to communicate and collaborate on cases.

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