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New system AnonShield enables faster, compliant data sharing for CSIRTs

Researchers have developed AnonShield, a system designed for scalable, on-premise pseudonymization of vulnerability data used by computer emergency response teams (CSIRTs). This system utilizes GPU-accelerated named-entity recognition (NER), streaming processing, and caching to significantly reduce processing times, achieving up to a 738x speedup on datasets up to 550 MB. AnonShield demonstrates that effective pseudonymization is achievable without compromising the analytical utility of the data, facilitating compliant data sharing within operational CSIRT environments. AI

RANK_REASON The cluster contains a research paper detailing a new system and its evaluation. [lever_c_demoted from research: ic=1 ai=0.7]

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  1. arXiv cs.AI TIER_1 English(EN) · Cristhian Kapelinski, Douglas Lautert, Beatriz Machado, Diego Kreutz, Isadora Garcia Ferr\~ao ·

    AnonShield: Scalable On-Premise Pseudonymization for CSIRT Vulnerability Data

    arXiv:2606.15650v1 Announce Type: cross Abstract: We present AnonShield, a high-throughput, on-premise pseudonymization system that combines GPU-accelerated NER, streaming processing, caching, and schema-aware configuration. Evaluated on datasets up to 550 MB (70,951 records), An…