Enterprise AI Data Readiness: Preparing Trusted Data for AI
The next wave of enterprise AI will not be limited by the availability of models. It will be limited by the availability of trusted, realistic, and usable data. Read More
The next wave of enterprise AI will not be limited by the availability of models. It will be limited by the availability of trusted, realistic, and usable data. Read More
IRI Audit Log Wrangler (ALW), introduced with the CoSort v11 Ops Governance System (OGS), extracts actionable information from the JSON audit logs generated by SortCL-compatible executions. Read More
The IRI OGS Policy File is the central authority for runtime governance in CoSort V11 and other SortCL-compatible IRI products. It controls access permissions, audit logging, script integrity requirements, and policy enforcement for data processing jobs. Read More
Abstract: With the release of CoSort Version 11 in the first quarter of 2026 is a new, custom-governed infrastructure for granular permission, validation, logging, and auditing of all structured data processing, protection and prototyping jobs in production on Linux and Windows that are powered by the IRI Sort Control Language (SortCL) program. Read More
IRI CoSort® Version 11 introduces major new capabilities for operational governance, JSON audit logging, cloud file access, data classification, metadata management, and SortCL processing. These enhancements strengthen runtime control, expand interoperability, and improve support for governed data workflows in CoSort and IRI Voracity. Read More
Abstract: This article discusses the content and obfuscation of historically used banking industry files using the IRI FieldShield data masking tool on proprietary tag-based formats (e.g., Read More
Healthcare providers, medical researchers, and other “business associates” collect and process sensitive data on patients, which HIPAA law classifies as protected health information (PHI). Because PHI is stored and shared in databases, clinical notes, imaging studies, treatment forms, and EDI (claim) formats – both on-premise and in the cloud – safeguarding it by finding and de-identifying it can be a complex, time-consuming challenge. Read More
A data masking tool can be an effective, if not essential, way to protect sensitive information stored in files and databases. As the numbers of data breaches, lawsuits, and data privacy laws continue to grow, companies must find ways to anonymize production and test data without sacrificing its utility for analytics, research, marketing, or development. Read More
The Banking, Financial Services, and Insurance (BFSI) industry handles huge amounts of personally identifiable information (PII) and sensitive financial data each day. This data ranges from NID, account information and credit scores to financial transactions and loan documents. Read More
Threats of data breaches and cyberattacks have intensified over the years. In 2025 alone, the total damage cost is already forecast to reach up to $10.5 trillion. Read More
Abstract: Adopting a data mesh approach represents a contemporary solution to the challenges faced by traditional centralized data management systems. This article summarizes what data mesh architecture is about, and how you can leverage its key benefits using the IRI Voracity platform. Read More