SHIELDS deploys multi-agent LLMs for iterative, feedback-driven OS hardening and reports up to 73% remediation of scan findings, with success tied more to tool use than model size.
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SHIELDS: Automating OS Hardening with Iterative Multi-Agent Remediation
SHIELDS deploys multi-agent LLMs for iterative, feedback-driven OS hardening and reports up to 73% remediation of scan findings, with success tied more to tool use than model size.