Systems | Development | Analytics | API | Testing

AI Guardrails: Ensure Safe, Responsible, Cost-Effective AI Integration

As enterprises increasingly embed AI and Large Language Models (LLMs) into their digital experiences, enforcing robust AI guardrails becomes paramount to safeguard users, protect data, manage operational costs, and comply with regulatory and ethical standards. Think of AI guardrails as essential controls: policy, technical, and operational layers carefully placed around your AI services to detect, prevent, and mitigate any unsafe, abusive, or unintended behaviors.

The Silent Security Problem of AI Agents: Bridging the IAM Gap

The increasing use of AI agents in enterprise workflows introduces new identity and security vulnerabilities that conventional identity and access management (IAM) systems are under-equipped to address. Here’s how to close the gap. AI agents are no longer a futuristic concept. They’re booking meetings, writing emails, generating code, automating internal workflows, and making autonomous decisions on behalf of humans or systems, or on their own.

Announcing terraform-provider-konnect v3

It’s been almost a year since we released our Konnect Terraform provider. In that time we’ve seen over 300,000 installs, have 1.7 times as many resources available, and have expanded the provider to include data sources to enable federated management of your Konnect organization. There have been many changes in the last year, but there are some changes that we’ve been holding off on as they would break your CI/CD pipelines.

Real-Time AI at Scale: The New Demands on Enterprise Data Infrastructure

Real-time AI is transforming how businesses process and use data, demanding faster, more reliable, and scalable infrastructure. Unlike older batch processing systems, real-time AI provides instant insights for applications like fraud detection, personalized recommendations, supply chain adjustments, and predictive maintenance. However, scaling these systems introduces challenges like managing massive data streams, ensuring low latency, and maintaining security.

Android Studio Tutorial: Build and Publish Your First App

Android app development is the process of building software for Android devices, such as smartphones, smart TVs, tablets and wearables. It’s a Linux-based system and open source, which means manufacturers can customize it. Android version names used to be named after desserts, like Lollipop, Marshmallow, KitKat and Oreo. From version 10, Google switched to number-based names like Android 10, Android 11, Android 12, etc, up to the most recent, Android 15, which was released in September 2024.

Google Chrome DevTools: Payload in Network Tab

Stop guessing and debug smarter with Bugfender – trusted by the biggest global companies to startups worldwide. In this video, learn how to use the Payload Tab inside of Chrome DevTools to inspect POST requests. You'll learn how to open the developer tools and navigate to the network tab to view the payload data. This is a great chrome developer tools tutorial for those new to web development. Subscribe for more DevTools tips, debugging tutorials, and app development tricks.

Implementing API Governance Policies in WSO2 API Manager

Growing business demands require enterprises to manage a vast number of APIs. The volume and complexity of these integrations make maintaining quality a challenge. To address this, governing the API lifecycle—from design to retirement—has become essential. API management vendors are therefore developing tools and frameworks to assist.

Lower Cloud Bills, Faster MTTR, Stronger Security: One Platform for Node.js

Performance and efficiency aren’t just technical concerns, they’re business-critical. For companies running Node.js applications, hidden inefficiencies can quietly drive up costs, slow down innovation, and increase risk. N|Solid transforms the way businesses manage and optimize their Node.js applications.

Selecting the right Apple Silicon generation for efficient iOS CI - Bitrise webinar

As economic conditions have changed, engineering teams are learning to be more efficient with their infrastructure spending. So how do engineering and infra teams choose what Apple Silicon hardware is the best fit for their CI workloads and overall business? In this webinar, Ben Boral weighs the pros and cons of each machine type and explains how teams can choose the right one, while Adam Wareing of ABC discusses his team’s migration to the M2 Pro.