Agile Production Management System Data Integrity and Reliability

This Use Case takes advantage of STAR’s security and data governance technologies in order to ensure the integrity, confidentiality, availability, non-repudiation and authenticity of industrial data used by AI systems and processes. Techniques for decentralized validation of industrial data are employed, notably techniques that audit/validate datasets derived from sensors and unreliable data sources.

The UC leverages also the project’s cyber-defence techniques against Deep Neural Networks, with emphasis on confronting attempts for contaminating machine learning and deep learning algorithms.