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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.

Did You Know? BlazeMeter AI-Enhanced Shift-Left Converter

Tired of the complexity and manual effort involved in migrating LoadRunner scripts? BlazeMeter's AI-Enhanced Shift-Left Converter is here to revolutionize the process. This cutting-edge tool automates up to 80% of manual work, supports over 190+ C functions, and ensures faster, more accurate script conversions to modern frameworks like JMeter and Taurus. In this video, we’ll explore: Whether you're looking to accelerate migration timelines, reduce costs, or improve script accuracy, this tool is your ultimate solution.

Essential First Steps to Certified Software: Static Analysis: AFuzion & Perforce Explain

Highly regulated industries face many challenges in achieving software certification. Fortunately, there are tools to help busy teams. In this webinar, AFuzion and Perforce safety-critical industry experts explain why static analysis should be your first step to certification, standards requirements for tool qualification, and the role of certification and tool qualification guidelines for DO-178C and DO-330 in aviation.