Systems | Development | Analytics | API | Testing

Static Data Masking vs. Dynamic Data Masking: What's the Best Approach?

Data masking comes in different forms: dynamic vs. static masking. Each has its own characteristics, use cases, and methods for data protection. But when it comes to comprehensive, consistent protection, static data masking rises above. In this blog, we’ll break down where dynamic data masking works, how it fails, and which use cases you need to use static masking for.

Choosing the Right Data Protection Approach for Your Non-Prod Environments | Full Webinar

Dive into the pros and cons of data masking and synthetic data generation, with real-world examples and practical use cases. In this webinar, Perforce Delphix experts Ilker Taskaya and Hims Pawar show you how to select the right approach based on your specific needs, compliance requirements, and data accessibility challenges.

Dynamic Kafka ACLs: Implementing Identity-Aware Policies with Kong Event Gateway

Modern Kafka deployments struggle with a familiar tension. You want fine-grained access control per client, per team, and even per request. However, traditional ACLs force you into static, cluster-level configurations that are brittle, hard to scale, and painful to maintain. Administrators are often forced to manage massive, hardcoded lists of topics and users. But what if you could dynamically craft these ACLs using identity context?

The $2 Million Vercel Ransom: Lessons in AI Supply Chain Security

The recent security breach at Vercel, where a$2 million ransom was demanded after the Context AI OAuth breach, is a wake-up call. Vercel continues to be a pillar of the modern web, serving millions of frontend applications to enterprises around the world. A compromise on such a scale has a ripple effect throughout the enterprise ecosystem.The incident points to a particular weak point: a combination of third-party AI integrations and internal system security.

IBM Vault Alternatives to Consider in 2026

HashiCorp Vault (now also referred to as IBM Vault or IBM HCP Vault) has been a default secrets management choice in engineering-heavy organizations for nearly a decade. However IBM's acquisition of HashiCorp has prompted a wave of reassessment and led to consideration of other tools like SplitSecure which are likely more cost effective for most orgs. . IBM has a mixed record of supporting acquired products over the long term. Roadmap direction, licensing changes, and support responsiveness are all open questions for customers planning multi-year deployments.

Be Ready for Your Next FTI Audit: Manage & Mask Your Sensitive Data

FTI audits are designed to ensure sensitive tax data is properly protected. But in modern enterprises, they’re about much more than passing inspections. Today, you need to manage FTI securely while still enabling fast, reliable access to data across DevOps, analytics, and increasingly, AI workflows. Treating FTI audits as part of a broader data strategy helps teams reduce risk without slowing innovation or creating bottlenecks.

Cloudera: Why Full Transparency and Hybrid Data Control Matter for AI Security

Are you losing visibility into your data and AI platforms? This video discusses the security concerns surrounding "black box" cloud-only solutions and highlights how Cloudera offers a more secure, transparent alternative. Cloudera is hiring hundreds of engineers this year for its technology and product teams to help build the world's only hybrid data and AI platform. Chapters.