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Safeguarding Enterprise AI with Kong's Prompt Guard

Mar 18, 2025 By Kong In Kong

Protect your enterprise AI from misuse and safeguard sensitive data effortlessly. In this concise demo, you'll learn how Kong Inc. helps organizations enforce powerful security guardrails around AI interactions. Key highlights include: AI Prompt Guard: Set precise rules to allow or block specific prompts. AI Semantic Prompt Guard: Go beyond simple rules by using AI to understand and intelligently filter prompts based on their semantic meaning. Enhance your AI security strategy and confidently mitigate risks with Kong.

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What AI code editors means for API development

Mar 17, 2025 By Terence Bennett In DreamFactory

AI-powered code editors are speeding up API development by automating repetitive tasks, improving security, and optimizing performance. Developers now spend 55% less time on API creation, focusing more on design and business logic instead of boilerplate code. These tools reduce errors, generate real-time documentation, and enhance scalability, making API development faster and more efficient.

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AI Observability: Monitoring and Troubleshooting Your LLM Infrastructure

Mar 17, 2025 By Kong In Kong

When your company deployed its first large language model last quarter, your CTO probably didn't mention you'd need entirely new tools to understand what's happening under the hood. But here we are. AI Observability isn't just another tech buzzword—it's the difference between confidently leveraging AI and crossing your fingers hoping nothing breaks.

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Hybrid Testing | A Complete Guide

Mar 14, 2025 By Katalon In Katalon

Hybrid testing is the testing approach which balances manual with automated testing to achieve the best of both worlds. It is effective because software testing by nature requires both the creativity of humans and the automating powers of machines.

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AI-Powered Performance Optimization in Node.js with N|Solid

Mar 13, 2025 By Lizz Parody In NodeSource

Artificial intelligence is revolutionizing software development, and at NodeSource, we're bringing AI-driven insights to Node.js applications through N|Solid. Our latest AI-powered profiling and diagnostics tools help developers streamline performance analysis, optimize application efficiency, and proactively detect bottlenecks. In this post, we'll dive into how AI enhances observability, simplifies CPU profiling, and generates actionable recommendations that improve performance debugging workflows.

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Partnering with Vultr for Serverless & Global AI Deployments

Mar 13, 2025 By Yann Léger, Edouard Bonlieu, Bastien Chatelard In Koyeb

Today, we are thrilled to announce our partnership with the Vultr Cloud Alliance. As you may already know, we provide a serverless cloud for developers and businesses to seamlessly deploy AI apps, inference endpoints, and APIs globally across GPUs, CPUs, and accelerators. Vultr provides high-performance cloud infrastructure and offers composable infrastructure that lets you deploy any stack, anywhere, in seconds.

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Quality (and Trust) Always Rises to the Top

Mar 12, 2025 By Drew Clarke In Qlik

AI and analytics are only as powerful as the data they rely on. Without accurate, consistent, and governed data, even the most advanced AI models can produce misleading results. That’s why data quality isn’t just nice to have — it’s essential. At Qlik, our customers across the globe rely on our solutions to drive AI-powered insights, optimize decision-making, and mitigate risk. And it all starts with trusted data.

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EP 14: Technology Is Only As Good As the People Using It

Mar 12, 2025 By Cloudera In Cloudera

The emergence of AI has undeniably changed the business landscape, with leaders across the globe racing to implement the technology for fear of falling behind their peers. But to orchestrate a successful digital transformation and harness the full power of AI, businesses must prioritize cognitive neuroscience and human behavior alongside the technological advancements of AI.

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How to Mock AI APIs Using proxymock

Mar 11, 2025 By Kristopher Sandoval In Speedscale

APIs often represent the cutting edge of the technology space. This is especially true with Artificial Intelligence – as AI has evolved from speculative technology to mass adoption, it has shown up significantly in APIs as a modality and mechanism. However, as with all new technologies, using AI APIs comes with significant challenges.

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