1. Introduction & Overview What is Tokenization? Tokenization is the process of substituting sensitive data elements with a non-sensitive equivalent—called a token—that has no exploitable value. Unlike encryption, tokenization doesn’t…
📌 Introduction & Overview What is Anonymization? Anonymization is the process of transforming personal or sensitive data in a way that prevents the identification of individuals, even indirectly. Unlike pseudonymization…
1. Introduction & Overview What is Normalization? Normalization in the context of DevSecOps refers to the process of transforming data, configurations, logs, or system inputs into a standardized and consistent…
1. Introduction & Overview What is Cleansing? In DevSecOps, cleansing refers to the practice of removing, sanitizing, or redacting sensitive data, metadata, or malicious inputs from systems, codebases, logs, and…
1. Introduction & Overview What is Aggregation? Aggregation in the context of DevSecOps refers to the systematic collection, unification, normalization, and correlation of data from diverse sources such as logs,…
1. Introduction & Overview What is Enrichment? In the context of DevSecOps, Enrichment refers to the process of augmenting raw security data (logs, alerts, metrics) with contextual information that makes…
1. Introduction & Overview What is Transformation? In the context of DevSecOps, Transformation refers to the strategic and operational shift in an organization’s culture, processes, and tooling to integrate security…
1. Introduction & Overview What is Ingestion? Ingestion refers to the process of collecting, importing, and processing data from various sources into a centralized system for analysis, storage, or monitoring.…
📘 Introduction & Overview What is Agile Data? Agile Data refers to the application of agile methodologies—like iterative development, cross-functional collaboration, and incremental delivery—to data management and data analytics processes.…
1. Introduction & Overview What is the DataOps Lifecycle? The DataOps Lifecycle refers to the end-to-end process of managing data workflows—from ingestion and transformation to deployment and monitoring—using DevOps principles…