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Press Release – Impressive Initial Results for Novel AI-based Software Risk Scoring Model

Impressive Initial Results for Novel AI-based Software Supply Chain Risk Scoring Model Spearheaded by Acronis SCS, first round of research yields 41% improvement at detecting CVEs SCOTTSDALE, AZ – Dec. 9, 2020 – The Acronis SCS research team – led by the company’s Senior Director

Balancing Innovation & Secure Software Development in a Globalized Economy

From power grids and advanced weapons systems to the telework-enabling apps connecting us during COVID-19, software sits at the heart of nearly all that keeps America and the world running. As more and more products and services rely on the use of unvetted third party

Acronis SCS State and Local Industry Spotlight

Combinatorial Code Classification & Vulnerability Rating

This research paper - published by IEEE and co-authored by Joe Barr and Tyler Thatcher (Acronis SCS), Peter Shaw (Nanjing University), Faisal Abu-Khzam (Lebanese American University), and Sheng Yu and Heng Yin (University of California - Riverside) - uses an empirical analysis of source code

Tag: software vulnerability rating

Press Release – Impressive Initial Results for Novel AI-based Software Risk Scoring Model

Balancing Innovation & Secure Software Development in a Globalized Economy

Combinatorial Code Classification & Vulnerability Rating

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