priteshgeek 1. Introduction & Overview What is Schema Evolution? Schema Evolution refers to the process of managing changes to the structure of data (schemas) in a way that maintains compatibility, data integrity, and system performance. In the context of databases or data pipelines, this often means evolving table structures, message formats (e.g., Avro, JSON), or APIs … Read more
📘 Introduction & Overview What is Data Masking? Data Masking is the process of hiding original sensitive data with modified content (characters or other data) that retains the functional format. The goal is to protect data while ensuring that masked datasets remain useful for development, testing, or analytics. Masked data may look real but is … Read more
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 use reversible cryptographic functions but maps sensitive values to tokens through a secure token vault. History or Background Why is it Relevant in DevSecOps? 2. … Read more
📌 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 (which replaces identifiers with pseudonyms but still allows re-identification with additional data), anonymization removes or masks all identifiable information irreversibly. In DevSecOps—where security is a … Read more
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 format. This enables better comparison, automation, validation, security analysis, and decision-making across environments and toolchains. It is applied in areas such as: History or Background … Read more
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 configurations to reduce security risks and maintain compliance. It ensures that secrets, personally identifiable information (PII), or vulnerabilities are not propagated across the software development … Read more
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, metrics, vulnerabilities, code quality scans, audit trails, cloud configurations, and CI/CD pipelines. This consolidated view enhances observability, threat detection, compliance auditing, and overall decision-making. Aggregation … Read more
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 the data actionable and insightful. Enrichment adds intelligence by linking events to: History or Background Traditionally, IT security teams struggled to prioritize security alerts due … Read more
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 as a shared responsibility throughout the entire software delivery lifecycle. It involves moving from traditional siloed development, security, and operations teams to a unified, automated, … Read more
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. In the context of DevSecOps, ingestion typically involves the real-time or batch processing of: It acts as the entry point for observability, compliance, and security … Read more