Systems | Development | Analytics | API | Testing

Exploratory test management bridges the gap between unscripted testing creativity and systematic quality assurance processes.

At WSO2, our mission is to deliver exceptional digital experiences. We believe that this commitment, combined with our company culture rooted in honesty and transparency, is why organizations worldwide continue to place their trust in us. We're thrilled to share our customer satisfaction scores for the first half of 2025. These results, which reflect our dedication to our customers, include a Net Promoter Score (NPS) of 61 and a Customer Satisfaction (CSAT) score of 4.46 out of 5.

Ever been curious about how your app is able to determine if an incoming request is coming from a trusted user or an attacker? In a world where APIs power everything from mobile apps to banks, securing the APIs that underpin them is no longer a nicety but a necessity. One vulnerable endpoint can open the door to data breaches, account takeovers, or even worse. That’s where API authentication comes in.

Every developer has been there, our code looks perfect on paper, passes all static checks, and seems bulletproof. Then the production cause hits, and suddenly everything falls apart under real user behaviour. The gap between “code that looks right“ and “code that works right“ is where dynamic testing shines. In this blog, we will learn about what dynamic testing is, why dynamic testing is needed in software development and how keploy assist in dynamic testing.

Webhooks are a smarter way for APIs to communicate in real-time. Unlike polling, which constantly checks for updates, webhooks automatically send notifications when specific events occur. This makes them faster, more efficient, and resource-friendly. Here’s how they work and why they matter: What are Webhooks?: They are HTTP callbacks triggered by events, delivering data instantly to other systems.

The idea of using an AI like GPT-5 or any LLM based tool to generate SQL from natural language sounds like a productivity goldmine. Ask the AI a question, and it automatically writes and executes the perfect query. Insight on demand. No SQL expertise needed. But beneath this automation lies a serious threat. Giving AI systems free rein to generate and run SQL against your production database is not just risky—it could be catastrophic.

PostgreSQL is rapidly being adopted by enterprises large and small. Some estimates show as many as 60% are using it in some form or fashion. For anyone who isn’t on board yet, there are many reasons to consider it. To paraphrase their own site, PostgreSQL, is a powerful, open source object-relational database that uses and extends the SQL language, combined with features that safely store and scale the most complicated data workloads.

Ask anyone who has wrestled with legacy contract lifecycle management (CLM) software what frustrates them most, and you’ll hear a familiar refrain: “I can’t see what’s going on.” Whether it’s a missing status update, a buried clause, or an unexpected bottleneck, lack of visibility in the contract lifecycle slows deals, increases risk, and erodes trust between teams. But “visibility” is more than a buzzword.

Ever feel like your company's data is an untapped resource? We understand the frustration when your data isn't translating into clear, actionable insights for your team. A truly effective business intelligence (BI) dashboard should be a guide, not a barrier. It helps users understand what's happening and what they can do next, transforming a chaotic data landscape into a single, intuitive source of truth. That requires some work.

The Zero Trust model has fundamentally shifted how organizations secure their applications and infrastructure. Instead of assuming anything inside your network is safe, the Zero Trust security model requires continuous verification of every identity, every device, and every access request across the entire trust model, forcing users and devices to prove that they can access what they are trying to access.