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New multi-agent framework aids cybersecurity control recommendations

Researchers have developed a new framework to assist teams lacking cybersecurity expertise in hardening IT environments. This system acts as a decision support tool, recommending security control sub-families based on user-defined security dimensions. The framework models the problem as a non-zero-sum game using Multi-Agent Influence Diagrams and employs online learning to optimize security resource allocation, minimizing both under- and over-provisioning. Validation demonstrated high satisfaction coverage rates, achieving 99% with approximately 65% of implementable controls. AI

IMPACT This framework could improve cybersecurity posture for organizations with limited expertise by providing automated, knowledge-based recommendations.

RANK_REASON The cluster contains a research paper published on arXiv detailing a new framework.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New multi-agent framework aids cybersecurity control recommendations

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The cluster contains a research paper published on arXiv detailing a new framework.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Carolina Fern\'andez-Mart\'inez, Shuaib Siddiqui, Vanesa Daza ·

    A Knowledge-Based Multi-Agent Framework for Security Control Recommendation

    arXiv:2607.09954v1 Announce Type: cross Abstract: Hardening IT on-premises environments can be a daunting task for teams without access to adequate cybersecurity expertise. In this regard, Decision Support Systems (DSS) with embedded expert knowledge can assist users by guiding t…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Vanesa Daza ·

    A Knowledge-Based Multi-Agent Framework for Security Control Recommendation

    Hardening IT on-premises environments can be a daunting task for teams without access to adequate cybersecurity expertise. In this regard, Decision Support Systems (DSS) with embedded expert knowledge can assist users by guiding them with security recommendations to meet their ob…