SecTrap | Critical urban infrastructure and soft target cyber attack protection. Users and application Behavioural Analysis supported by artificial intelligence to preempt security cyber attacks.

Summary
SecTrap™ is a security suite that is built on our novel and proprietary Virtual Machine Behavioural Introspection (VMBI)
technology and complements existing software security systems already invested by organisations. SecTrap™ ensures that
protected assets are inaccessible to malicious software and uses advanced AI to detect, block and report abnormal
behaviours. We want to be the first to commercialise this novel solution that is designed to protect critical urban
infrastructures and soft targets against new and imminent cyber attacks. Through SME Instrument Phase 1, we are seeking
finance to prepare a Feasibility Study and Business Plan to determine in-depth the possibility, feasibility, risk, viability,
profitability and sustainability of this new project.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/736395
Start date: 01-09-2016
End date: 28-02-2017
Total budget - Public funding: 71 429,00 Euro - 50 000,00 Euro
Cordis data

Original description

SecTrap™ is a security suite that is built on our novel and proprietary Virtual Machine Behavioural Introspection (VMBI)
technology and complements existing software security systems already invested by organisations. SecTrap™ ensures that
protected assets are inaccessible to malicious software and uses advanced AI to detect, block and report abnormal
behaviours. We want to be the first to commercialise this novel solution that is designed to protect critical urban
infrastructures and soft targets against new and imminent cyber attacks. Through SME Instrument Phase 1, we are seeking
finance to prepare a Feasibility Study and Business Plan to determine in-depth the possibility, feasibility, risk, viability,
profitability and sustainability of this new project.

Status

CLOSED

Call topic

SMEInst-13-2016-2017

Update Date

27-10-2022
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