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Tuesday, January 21, 2025

DSS To Utilise Geospatial Intelligence To Combat Insecurity —D-G

THE Director-General, Department of State Services (DSS), Mr. Adeola Ajayi, yesterday, said the service remains resolved on deploying geospatial intelligence solutions to address national security challenges.

Ajayi, represented by the Faculty Member, National Institute for Security Studies, Dr Patrick Eneji, said this at the training on Leadership Course in Data Mining and Geospatial Intelligence in Abuja.

The course was organised by the National Institute for Policy and Strategic Studies (NIPSS) in collabora­tion with Peace Building Development Consult (PBDC) and hosted by the Defence Space Administration (DSA).

Ajayi said that the service under his leadership had maintained an operational growth to quickly reduced threats of espionage, embezzlement, direct and loca­tion analysis of threat domains.

He said that the DSS had also enhanced the future number of intelligence capabilities to drive a com­prehensive regional picture on questions, groups, or subjects of security interest.

According to him, the Open Source Intelligence Department and other big data-driven sections of the service are also equipped with appropriate data mining tools that unravel complex trends, patterns, and correlations on security fractures.

The DSS boss said that the course was important in finding solutions to the myriad of security challenges that required the deployment of technology to proac­tively address them.

Ajayi said, “we live in a world driven by data, the ability to extract meaningful data for security and intelligence operation need not be over-emphasised.

“This is because it is a necessity, especially at strate­gic leadership level, where decisions have far-reaching implications.

“At this core, data mining is a process of discovering patterns, correlations, and insights with large data sets using computational techniques.

“I make bold to state that Nigeria is witnessing a modest integration of these technological innovations in different facets and nationalities amid limiting chal­lenges of data quality.’’

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