Cloud Data Security Solutions

Últimos artículos

• Automated Compliance Mapping in Cloud Security with Domain-Adapted Sentence Transformers

  John Bianchi, Luca Petrillo, Fabio Martinelli, Marinella Petrocchi · 8 de julio de 2026

  Mapping cloud security controls to technical metrics is currently a manual process. This paper proposes domain adaptation of Sentence Transformer models to automate it. We build a training corpus of 3,499 semantic pairs from five European security standards and a set of technical metrics, then expan…

• SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication

  Xinyi Fang, Kejian Tong, Jiabei Liu, Tao Ning, Yuhang He · 3 de julio de 2026

  Large scale document deduplication must preserve semantic equivalence while remaining efficient over massive corpora. We present SemHash LLM, a multi granularity framework that unifies semantic projection hashing, attention weighted MinHash, contrastive boundary learning, and selective LLM based adj…

• Policy-Compliant Cloud Storage Systems

  Dimitrios Stavrakakis, Masanori Misono, Julian Pritzi, Harshavardhan Unnibhavi, Nuno Santos, Pramod Bhatotia · 5 de junio de 2026

  Privacy regulations such as the General Data Protection Regulation (GDPR) impose strict requirements on how personal data is stored, processed, and audited. While key-value stores (KVS) are widely used in latency-sensitive applications, their simple data model and untrusted cloud deployment environm…

• Merlin: Deterministic Byte-Exact Deduplication for Lossless Context Optimization in Large Language Model Inference

  Sietse Schelpe · 12 de mayo de 2026

  Data-intensive applications, ranging from large-scale retrieval systems to advanced data pipelines, are increasingly bottlenecked by the processing of highly redundant text corpora. We present Merlin, a local-first, agnostic, high-throughput deduplication and context optimization engine designed to …

• Sovereign 2.0: Control-Plane Sovereignty for Cloud Systems Under Disruption

  Justin Stark, Scott Wilkie · 17 de abril de 2026

  Cloud sovereignty can no longer be defined by data residency or infrastructure location alone. Under conditions of geopolitical disruption, legal exposure, and expanding service boundaries, sovereignty must be understood as enforceable control over how digital services are governed, operated, and re…

• Optimized Disaster Recovery for Distributed Storage Systems: Lightweight Metadata Architectures to Overcome Cryptographic Hashing Bottleneck

  Prasanna Kumar, Nishank Soni, Gaurang Munje · 27 de febrero de 2026

  Distributed storage architectures are foundational to modern cloud-native infrastructure, yet a critical operational bottleneck persists within disaster recovery (DR) workflows: the dependence on content-based cryptographic hashing for data identification and synchronization. While hash-based dedupl…

• LSHBloom: Memory-efficient, Extreme-scale Document Deduplication

  Arham Khan, Robert Underwood, Carlo Siebenschuh, Yadu Babuji, Aswathy Ajith, Kyle Hippe, Ozan Gokdemir, Alexander Brace, Kyle Chard, Ian Foster · 3 de diciembre de 2025

  Contemporary large language model (LLM) training pipelines require the assembly of internet-scale databases full of text data from a variety of sources (e.g., web, academic, and publishers). Preprocessing these datasets via deduplication -- detecting and eliminating additional instances of the same …

• The Trust Calibration Maturity Model for Characterizing and Communicating Trustworthiness of AI Systems

  Scott T Steinmetz, Asmeret Naugle, Paul Schutte, Matt Sweitzer, Alex Washburne, Lisa Linville, Daniel Krofcheck, Michal Kucer, Samuel Myren · 20 de noviembre de 2025

  Recent proliferation of powerful AI systems has created a strong need for capabilities that help users to calibrate trust in those systems. As AI systems grow in scale, information required to evaluate their trustworthiness becomes less accessible, presenting a growing risk of using these systems in…