Systems | Development | Analytics | API | Testing

As businesses continue to amass vast amounts of data, the need for robust data governance procedures has become more critical than ever. Examining data governance procedures has long been a crucial practice for businesses that collect data because it ensures that collected data is managed, stored, and utilized in a secure, compliant, and efficient manner. It also enhances data quality, risk mitigation, and better decision-making.

If your company handles customer payment information, it’s critical for you to understand PCI DSS compliance requirements. A single breach can result in substantial financial penalties and damage your brand's reputation. In my experience working with enterprise customers, I’ve seen firsthand how non-production environments often become a blind spot for compliance efforts.

Your Perforce IP Lifecycle Management (IPLM) software is a critical asset that benefits from regular management and maintenance. However, managing IPLM can be complex. The scale of deployments can range from a single server to twenty or thirty instances across the globe. An IPLM environment includes a variety of services, such as PI Server, PI Web, PI Cache, Neo4j, Redis, and MongoDB, each with its own set of configurations and log files.

If you work in a regulated industry like medical device design, automotive engineering, or aerospace, you understand that requirements are the bedrock of product development. Without clear, effective requirements, your team risks compliance failures, scope creep, and costly rework. Requirements engineering is the disciplined application of proven principles, methods, and tools to describe the behavior of a proposed system.

Over 875,000 providers work with Cognizant’s TriZetto healthcare and insurance administration solutions. That means all 875,000 should be taking precautions to secure data on these platforms and stay compliant under HIPAA and GDPR, relevant to the healthcare industry. Yet, I still see TriZetto users allowing sensitive data into non-production environments. TriZetto data masking is key to preventing noncompliance and its consequences.

CWE and CWE Top 25 secure coding practices help you safeguard your code against rising software security risks. Here we explain what is CWE and the CWE Top 25. Read along or jump ahead to the section that interests you the most.

The Australian Prudential Regulation Authority (APRA) introduced the CPS 234 prudential standard to set a clear benchmark for cybersecurity resilience. Complying with CPS 234 is a key step for organisations to protect sensitive information and build trust. As businesses rely more on data-driven operations, protecting customers’ information — especially in non-production environments that are often overlooked — is more important than ever.

The right electronic design automation (EDA) software can help semiconductor design teams meet tight time-to-market deadlines, lower costs, and avoid the immense cost of errors. Using EDA tools, you can: A recent Business Wire report anticipates that as the semiconductor industry grows more competitive and new chip technology emerges, the market for EDA tools will skyrocket to $22 billion in 2030.

A Product Requirements Document (PRD) articulates the purpose, features, and functionality of a product. It is a blueprint for development teams to understand: While the exhaustive PRDs of the past are less common in today's Agile landscape, their core function remains the same: to align all stakeholders so that everyone from product managers to developers and testers shares a common vision.

As the automotive industry accelerates toward increasingly connected and autonomous vehicles, the importance of cybersecurity in embedded software development has never been greater. But how should you go about choosing the right programming language for automotive cybersecurity?