Intelligence Network and Secure Platform for Evidence Correlation and Transfer



Cybercrime is a borderless crime that leverages technology and the internet to exploit businesses, communities and individuals. Law enforcement officers responsible for investigating cybercrime need to be equally able to access cutting edge technology to combat these crimes and to bring down criminal networks



The EU-funded INSPECTr project integrates a range of high-tech approaches, including Big Data analytics, cognitive machine learning and blockchain technologies into a shared intelligence platform that will improve digital and forensic capabilities, and reduce the complexity and cost of cross-border collaboration. The platform will incorporate privacy and ethics by design principles and will take into account relevant national and international legislation.

Our Role

Trilateral Research’s role focuses on ensuring that the solutions developed are in compliance with European societal values, fundamental rights and applicable legislations including privacy and protection of personal data.



The principal objective of INSPECTr is to develop a shared intelligent platform and a novel process for gathering analysing, prioritising and presenting key data to help in the prediction, detection and management of crime in support of multiple agencies at local, national and international level.

 Using both structured and unstructured data as input, the developed platform will facilitate the ingestion and homogenisation of this data with increased levels of automatisation, allowing for interoperability between outputs from multiple data formats.

The final developed platform will be freely available to all LEAs.



INSPECTr intends to reduce the complexity and the costs in law enforcement agencies and related actors to use leading edge analytical tools proportionally and in line with relevant legislation (including fundamental rights), with extended options for multi-level and cross-border collaboration for both reactive and preventive policing and facilitate the detection/prediction of cybercrime operations/trends.


Various knowledge discovery techniques will allow the investigator to visualise and bookmark important evidential material and export it to an investigative report.

In addition to providing basic and advanced (cognitive) cross-correlation analysis with existing case data, this technique will aim to improve knowledge discovery across exhibit analysis within a case, between separate cases and ultimately, between interjurisdictional investigations.


Please contact our team for more information:


Leanne Cochrane, Senior Research Analyst at Trilateral Research



NSPECTr has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 833276.

‘Risk Assessment Report and Methodology’

You can view the Executive Summary and Table of contents of the Project Solebay Risk Assessment Methodology Report.

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