Скачать или смотреть New Automated Source Code Data Protection Measure

Presented October 13, 2020
Joe Jarzombek, Director for Government & Critical Infrastructure Programs, Synopsys and CISQ Board Member
Dr. Bill Curtis, Executive Director, Consortium for Information & Software Quality (CISQ)

CISQ has developed a new measure based on a collection of software weaknesses that can be used to support enterprise and supply chain needs in protecting data, confidential information, IP, and privacy. This new measure will be highly relevant to GDPR, CCPA, as well as CMMC for CUI protection. As organizations undergo process assessments associated with CMMC, GDPR, CCPA, ISO 27001, NIST SP 800-53 r5, NIST SP 800-171, etc., scanning code that will run or is running in enterprises (on systems and devices that process or transmit data) can determine if the systems or devices enable data leakage based on detection of the critical weaknesses.

This session will introduce the Automated Source Code Data Protection measure - the latest measure in a set of code quality standards used in product assessment, RFPs, and supply chain risk management.