AI Framework for Improving Cyber Defence Operations

The project ”AI Framework for Improving Cyber Defence Operations” (AInception) will develop novel AI-based tools and techniques for detection and response: from detecting adversarial behaviour from logs and network traffic; to understanding, contextualizing and explaining the detected threat; to generating risk and impact aware response action; all the way to automating the execution and evaluation of the response action on the underlying infrastructure. AI will play a central role for all these steps in the AInception tool pipeline. These tools will be combined into a proof-of-concept end to-end detection and response prototype, evaluated in operational scenarios with end users.

Goal
The project aims at developing Artificial Intelligence-based intrusion detection tools and techniques that out perform current military systems for selected scenarios and techniques that can abstract, aggregate, enrich and contextualise alerts into a more manageable set of abstracted meta alerts.

Lead Partner
SPACE HELLAS ANONYMI ETAIREIA SYSTIMATA KAI YPIRESIES TILEPIKOINONIONPLIROFORIKIS ASFALEIAS – IDIOTIKI EPICHEIRISI PAROCHIS YPERISION ASFA
Partners involved
FORSVARETS FORSKNINGINSTITUTT, THALES SIX GTS FRANCE SAS, NAVAL GROUP, UBITECH LIMITED, EIGHT BELLS LTD, INFILI TECHNOLOGIES SOCIETE ANONYME, TOTALFORSVARETS FORSKNINGSINSTITUT, NEDERLANDSE ORGANISATIE VOOR TOEGEPAST NATUURWETENSCHAPPELIJK ONDERZOEK TNO, KUNGLIGA TEKNISKA HOEGSKOLAN, NATIONAL CENTER FOR SCIENTIFIC RESEARCH “DEMOKRITOS”, AIT AUSTRIAN INSTITUTE OF TECHNOLOGY GMBH, MINISTRY OF NATIONAL DEFENCE, GREECE, INSTITUT PO OTBRANA, COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES, CY4GATE SPA, MNEMONIC AS, THALES HELLAS MONOPROSOPI ANONYMI ETAIREIA PARAGOGIS EMPORIAS KAI YPIRESION ILEKTRONIKOU EXOPLISMOU

Duration
01 December 2022 – 30 November 2025

Funding
€ 8,147,875.50 (European Defence Fund)

More information
https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/projects-details/44181033/101103385/EDF
https://edrin.org/fileadmin/media/Factsheet_EDF21_Ainception.pdf