Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
This whitepaper presents the RESCALE pilot implementation with Peer Stritzinger GmbH (PST), a German SME developing the GRiSP ecosystem, including GRiSP.io, a cloud-hosted SaaS platform for cloud-to-edge computing and device management. The document describes how RESCALE was integrated into the GRiSP.io software development workflow to introduce automated security assessment capabilities and evidence-based trust mechanisms. The pilot focused specifically on the GRiSP.io software platform, enabling static and dynamic security analysis through the CI pipeline and generating structured security evidence through SSCG, DSCG, and Trusted Bill of Materials (TBOM) artefacts. The whitepaper presents the security challenges addressed, the integration of RESCALE into the existing development workflow, the introduction of automated dynamic security testing, and the role of verifiable security evidence in distributed cloud-to-edge environments. The results demonstrate how RESCALE can complement existing software development and testing practices by introducing repeatable security-focused runtime analysis, structured evidence generation, and mechanisms supporting future evidence-backed trust across distributed software ecosystems.
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For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
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Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
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