Systems | Development | Analytics | API | Testing

AI and Data Privacy: 3 Top Concerns and What to Do About Them

The stakes for AI and data privacy are high. Risks in non-production environments are increasing. Regulatory bodies enact new privacy regulations each year. And concerns are rising as the AI/ML boom continues. Businesses like yours must be aware of key AI data privacy challenges. Read on to learn what these challenges are and how to address them.

Introducing Real-Time Context Engine: Simplified Context Engineering With Real-Time, Processed Data for AI

We’re excited to announce our Real-Time Context Engine, now available in Early Access. It’s a key part of Confluent Intelligence, our vision to bring real-time data directly to production AI systems through the power of Apache Kafka and Apache Flink.

WSO2 Expands AI and B2B Capabilities Across Identity and Access Management Product Family

Newest WSO2 Identity Server and Asgardeo IDaaS versions speed the deployment of secure AI Agents via new agentic IAM features, expand AI capabilities that improve IAM developers' experience, and extend WSO2's leadership in B2B CIAM.

How successful Insurers are using AI to solve targeted claims challenges

Join Everest Group, Global Excel, and Appian to explore how leading carriers are using prebuilt configurable AI claims solutions including embedded AI, Generative AI, and process automation to streamline claims, accelerate fraud detection, and unlock value across the insurance lifecycle. Gain insights on how insurance leaders are paving the way for success and how you can avoid becoming another failed AI case study.

How to Meet 2026 CFO IT Budget Expectations without Slowing AI Innovation

As 2026 planning kicks into high gear, your CFO may be putting every technology investment under the microscope, but the focus and pressure to deliver on AI Innovation has never been higher. For IT Leaders, the challenge is clear and straightforward. How do you strike a balance continuing to move your AI initiatives forward and maintaining a balanced budget in 2026?

The Connectivity Layer of AI | Kong Konnect for Agentic Digital Experiences

APIs are the nervous system of AI. In this API Summit 2025 keynote, Kong outlines the AI connectivity layer: unifying API and LLM traffic, adopting agent protocols like MCP, introducing an AI gateway pattern, and enabling usage-based monetization with realtime metering and billing in Konnect. Key takeaways: Learn more: Subscribe for more on API and AI connectivity. Explore Kong Konnect to standardize governance, scale LLM/agent traffic, and monetize usage.

Using Atlassian Rovo and Xray - The future of AI-Powered Test Management

Atlassian Rovo is the latest evolution of AI-powered knowledge discovery and workflow assistance, built by Atlassian to help teams turn scattered information into meaningful actions. Rovo works on three core dimensions: Rovo is available in all Atlassian products by default. Users have multiple methods to engage with the AI, each offering different levels of complexity and interaction.

The Hidden AI Fragmentation Tax: Why AI Innovation Speed Will Depend on Your AI Program Margins

Everyone's telling you to innovate faster with AI. Move quicker. Ship more features. Deploy more agents. But before we sprint headlong into the AI revolution, we need to have a proper dollars-and-cents conversation that most companies are avoiding. Disclaimer: Statistics cited in this post were reported in the 2025 State of AI Cost Governance Report by Mavvrik. The data is stark: 84% of companies report more than a 6% hit to gross margin from AI costs.