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Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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THREAT ONBOARDING AND RESPONSE (TOR): AN INTELLIGENT AUTOMATION FRAMEWORK FOR ENTERPRISE CYBER DEFENCE

Authors: Prosun Gerst; Per Johannisson;

THREAT ONBOARDING AND RESPONSE (TOR): AN INTELLIGENT AUTOMATION FRAMEWORK FOR ENTERPRISE CYBER DEFENCE

Abstract

Abstract The tool that will be analysed in this article is the Threat Onboarding and Response (TOR) framework, which is an intelligent, automated enterprise cybersecurity tool. TOR incorporates threat onboarding, AI-assisted detection and automatic reaction to improve real-time monitoring, minimise the response time, and improve the resiliency of the cloud and the multi-tenant environment. The framework considers both the alert fatigue and the problem of tools fragmentation, along with human dependency, which also provides the defence that is proactive and scalable defence. Keywords: Threat Onboarding, Cybersecurity Automation, AI-Driven Detection, Enterprise Resilience

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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