Systems | Development | Analytics | API | Testing

Which properties in your portfolio are becoming less profitable, and why? A reliable answer usually means pulling lease and occupancy data from the property management system (PMS), operating costs from accounting, maintenance records from a third platform, and rent comparables from outside the company. Some of it lives only in a spreadsheet one analyst maintains. The answer can take days, and two teams can come back with different numbers. Large real estate companies rarely lack software or data.

As AI's power grows, so do the public policy implications of data stewardship. These 5 principles form our public policy framework.

On October 17, 2026, the developer world learned that the private keys of eight intermediate certificate authority (CA) certificates from eMudhra had been compromised. In this article, I’ll explain how that affects the Bitrise environment powering your Bitrise CI jobs, Build Hub runners, and Remote Developer Environments.

If you started in quality engineering decades ago, your whole mental model was forged in deterministic logic: assert(actual === expected). You took a business requirement specification, mapped out boundary values, wrote explicit test steps in TestRail or Jira, and automated them in Selenium, Cypress, or Playwright. In traditional QA testing, if an input of 2 + 2 yielded anything other than 4, you opened a severity-1 blocker, attached the stack trace, and kicked the build back to the developers.

‍ Banking-as-a-Service (BaaS) enables fintech companies to integrate regulated banking capabilities through APIs and licensed banking partners. These capabilities include account management, payment processing, card issuance, and embedded financial services. Selecting reliable banking as a service providers is becoming increasingly important as regulatory scrutiny and operational risks reshape the industry.

Today ServiceNow launched the **ServiceNow Control Tower Alliance**, and Kong is proud to be a founding member to help enterprises put AI to work safely, at scale. It's a milestone for Kong, and we think it's an important moment for the industry. Here's what the alliance is, why it matters, and why we believe every AI control tower needs a runtime. Enterprise AI has moved from pilots to production faster than most governance programs could keep up.

Over the past year, nearly every data and analytics vendor has made the same argument: AI agents need business context. Give a model enterprise data without telling it how the business defines revenue, margin, or an active customer, and it will give confident answers to the wrong questions. I agree. But definitions alone are not enough.

Explore why data is becoming the defining challenge for enterprise AI and what leaders must consider as agents gain greater autonomy.