HOPLITE: From Previously Unanalysed Data to Automated Intelligence
This workshop will present multiple HOPLITE components designed to support the collection, analysis and interpretation of open-source information for investigative and security-related use cases.
The session will focus on how HOPLITE combines automated analysis, including AI-based methods, with existing tools and platforms to help identify relevant content, detect potential threats and reduce the amount of information requiring manual assessment. One of the technologies considered within this ecosystem is the Analysis Information Leak (AIL) platform, which HOPLITE extends with additional analytical capabilities.
This workshop will present multiple HOPLITE components designed to support the collection, analysis and interpretation of open-source information for investigative and security-related use cases.
The session will focus on how HOPLITE combines automated analysis, including AI-based methods, with existing tools and platforms to help identify relevant content, detect potential threats and reduce the amount of information requiring manual assessment. One of the technologies considered within this ecosystem is the Analysis Information Leak (AIL) platform, which HOPLITE extends with additional analytical capabilities.
As a seasoned dark web connoisseur and lead developer of the AIL project,
Aurélien enjoys exploring the complexities of the internet and analyzing it.
He is also a software engineer and analyst at CIRCL.
Data Scientist who mainly works with Natural Language Processing.
Working on the Hoplite project.