Systems | Development | Analytics | API | Testing

PII Sanitization Needed for LLMs and Agentic AI is Now Easier to Build

The excitement around large language models (LLMs) and agentic AI is justified. These systems can summarize, generate, reason, and even take actions across APIs — all with minimal human input. However, as enterprises race to integrate LLMs into real-world workflows — especially when those enterprises operate in regulated environments and/or deal in sensitive data — one fundamental question looms large.

Microsoft Fabric Data Masking: How to Secure & Scale Analytics Pipelines

Microsoft Fabric combines data engineering, warehousing, real-time analytics, and BI into a single environment to help organizations streamline data workflows and derive insights from large, diverse datasets. For teams leveraging Fabric, data masking is an essential method for safeguarding sensitive data, ensuring compliance, and maintaining data quality throughout analytics pipelines.

API Security Testing: A Step-by-Step Guide & Best Practices

Imagine you’ve built an advanced app, your users love it, and your business is thriving. But one day, you wake up to the news of a data breach—your API was hacked, and sensitive user data is now roaming the dark web. Sounds like a nightmare, right? Unfortunately, this scenario is all too real. According to a report by Salt Security, 94% of organizations experienced security issues in their production APIs, with 17% suffering a breach due to API vulnerabilities.

Kong Insomnia 11: Elevating API Security and Collaboration

We’re excited to announce the general availability of Kong Insomnia 11! This release introduces third-party vault integrations for enhanced security, an all-new Git sync experience for more seamless collaboration, and support for multi-tabs to improve efficiency within the Insomnia application. Keep reading to learn more.