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The AI Governance Wake-Up Call

Companies are rapidly adopting AI, but it's not all roses. The excitement comes with significant risks, such as shadow AI, runaway costs, and security nightmares. This post explores the real challenges organizations face in AI governance today and highlights how forward-thinking companies are beginning to tackle them. Companies are charging headfirst into AI, with research around agentic AI in the enterprise finding as many as 9 out of 10 organizations are actively working to adopt AI agents.

Stay Vendor Agnostic: Using an Abstraction Layer to Navigate Acquisitions

The messaging and data streaming industries are constantly evolving, with major shifts such as large vendor purchases. If your company relies heavily on a platform such as Apache Kafka and you recently discovered that your vendor was acquired by a competitor, you are most likely dealing with a combination of uncertainty, budgetary risks, and technical difficulties.

What's Really Coming in AI Next Year #short

AI is about to reshape security, work, competition, and even healthcare in 2026. In this video, Rod Cope breaks down the shifts leaders need to prepare for — from context engineering becoming a true competitive edge to agentic systems facing major security incidents, AGI claims, and an AI-driven medical breakthrough that could change human health forever. If you’re planning your 2026 strategy, these predictions matter.

Complying with CPS 234 at Enterprise Scale: A Guide for Financial Institutions

The Australian Prudential Regulation Authority (APRA) introduced the CPS 234 prudential standard to set a clear benchmark for cybersecurity resilience. Complying with CPS 234 is a key step for organisations to protect sensitive information and build trust. As businesses rely more on data-driven operations, protecting customers’ information — especially in non-production environments that are often overlooked — is more important than ever.

Kong AI/MCP Gateway and Kong MCP Server Technical Breakdown

"Too much information running through my brain." When The Police sang this opening line on their 1981 album Ghost in the Machine, they weren't thinking about artificial intelligence, but the sentiment perfectly captures the state of modern AI. The song warns of an overload of data that parallels how modern AI agents process extensive collections of messages and data.

Create a Markdown Editor in Ruby on Rails

In recent years, Markdown has become the lingua franca of plain-text files on the web. If you're a developer, you have read — and maybe even written — hundreds of Markdown documents over the course of your career. GitHub repositories use README files written in Markdown. Stack Overflow and Reddit use it to format posts. Technical documentation, blog posts, and entire books are written in Markdown. And it's not just for humans either!

[Workshop 201] Beyond the Gateway: Governing Secure and Observable AI Agents

Join our 201-level session, "Beyond the Gateway: Governing Secure and Observable AI Agents," to move from managing simple AI calls to governing autonomous systems. Building on 101's foundation, this workshop provides the advanced blueprint to secure agent connections with granular, identity-aware policies and robust tool-use governance, ensuring you control what agents can access and which actions they can perform. We'll also dive into how to observe these autonomous interactions, using real-time behavior tracing and cost analysis to maintain performance and compliance.

From Task Bots to Business Orchestration: A Guide to Enterprise Process Automation

Most enterprises today have automated hundreds of tasks across the business—but still struggle with slow, fragmented workflows. CRM handles one part, ERP another, HCM another, and teams end up working from disconnected systems and processes. It’s like conducting an orchestra where every section is playing from a different score. This is where enterprise process automation comes in.