A research direction investigating multi-agent reinforcement learning for autonomous moving-target defence in software-defined zero-trust environments.
Research in developmentMAD-GUARD explores how multi-agent reinforcement learning could support adaptive moving-target defence in software-defined zero-trust architectures. The research direction brings together autonomous decision-making, network resilience and security policy.
This page describes the initiative's research direction. It does not imply peer-reviewed publication, validated results or completed milestones unless those are separately documented.
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