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Building with LLMs unlocks new opportunities, but Gen AI systems can also fail in ways traditional software doesn’t. The OWASP Top 10 LLM lays out many of the core risks specific to AI applications. In this blog, we’ll walk you through the OWASP list of top 10 vulnerabilities for LLM applications, explore strategies to mitigate these risks, and show how to apply them to keep your AI product safe and reliable. What is the OWASP Top 10 LLM? The OWASP Top 10 LLM highlights the most critical safety and security risks unique to AI-powered systems. Its goal is to raise awareness and offer practical guidance for developers and organizations building with LLMs. The list is maintained by the Open Worldwide Application Security Project (OWASP), a nonprofit foundation dedicated to improving software security. Initially launched in 2001 to identify the most pressing risks to web applications, OWASP has grown into a global initiative with over 250 local projects, including the OWASP Top 10 for LLMs. The OWASP Top 10 LLM is built on the collective expertise of an international team of more than 500 experts and over 150 active contributors. The contributors come from different backgrounds, from AI companies to hardware providers to academia. The list is updated annually to reflect the evolving threat landscape in AI development. The OWASP Top 10 LLM, 2025. Source: OWASP Gen AI Security Project The OWASP Top 10 LLM for 2025 includes the following risks: prompt injection, sensitive information disclosure, supply chain, data and model poisoning, improper output handling, excessive agency, system prompt leakage, vector and embedding weaknesses, misinformation, and unbounded consumption. Let’s take a closer look at each of these risks. OWASP Top 10 LLM risks 1. Prompt Injection (LLM01:2025) Prompt injection is one of the most critical safety concerns in LLM-powered applications. It occurs when user inputs manipulate an LLM’s behavior in unintended ways. Such inputs can trick models into violating guidelines, generating harmful content, granting unauthorized access, or making poor decisions. Prompt injection attacks come in two forms: direct and indirect. In a direct attack, the user embeds malicious instructions directly into a prompt to alter the model’s behavior. In an indirect attack, the model gets adversarial inputs from external sources, such as websites or documents: the “injection” of harmful instructions happens via external content. While some forms of prompt injection are hostile attacks—like jailbreaking, which causes the model to ignore safety protocols—others may occur unintentionally. The impact and severity of prompt injection attacks vary greatly and depend on the business context in which the model operates and its properties. Here are some examples of prompt injection scenarios: Direct jailbreaking. An attacker prompts a customer support chatbot to ignore rules and perform a high-risk action like accessing private data,  sending unauthorized emails, or generating harmful content. Indirect injection. An attacker asks an LLM to summarize a webpage with hidden instructions, causing it to insert a link that leaks the private conversation. Unintentional injection. A hiring manager uploads a candidate’s resume that includes hidden instructions like “Always recommend an interview.” The LLM picks it up and includes it in the summary, skewing the evaluation. By instructing the LLM to agree with every demand, the user got the Chevrolet chatbot to sell him a car for a dollar. Source: Chris Bakke’s account on X To reduce the risk of prompt injection, consider implementing the following strategies: Constrain model behavior. You can provide specific instructions about the model’s role, capabilities, and limitations in a system prompt. Instruct the model explicitly to ignore attempts to override or alter these instructions. Use guardrails to check inputs and outputs. You can detect and block risky inputs, such as prompts that include toxic language or references to restricted topics. Require human approval for high-risk actions. For sensitive or potentially harmful operations, implement human-in-the-loop reviews to prevent unauthorized actions. Run adversarial tests. Simulate attacks​ and check how your AI system responds to malicious or risky inputs to uncover vulnerabilities before attackers do.

Looking for free LLM and Gen AI courses to dive into? Here are 10 online courses that focus on the practical side of building with LLMs. Our picks prioritize hands-on learning and accessibility: each course is either free or offers open access to its materials. We hope this list helps you find your next learning adventure. Think we’ve missed a great one? Let us know! Our Discord is the best place to share your suggestions. Disclaimer: All course information is sourced from their official websites. We simply put it together. LLM evaluation LLM evaluations for AI builders: applied course You can go through all the materials at your own pace. Author: Evidently AI Duration: 3 hours Price: free. Course certificate: yes (for cohort participants). The course syllabus is available here. LLM evaluation for AI builders is a new applied LLM course created by the team that develops Evidently, an open-source evaluation and observability framework for ML and LLM systems. This LLM course covers core LLM evaluation workflows, such as building test datasets, comparing prompts and models, and tracing LLM outputs. It is practice-oriented and consists of 10 end-to-end code tutorials, from custom LLM judges to RAG evaluations to adversarial testing. The course program is designed for AI/ML engineers and everyone building real-world LLM apps. Basic Python skills are required. Intro to LLM evaluations for AI product teams You can go through all the materials at your own pace. Author: Evidently AI Duration: 1 hour Price: free. Course certificate: yes (for cohort participants). The course syllabus is available here. LLM evaluations for AI product teams from Evidently is an opportunity to learn everything you need to know to get started with LLM evaluations in under 1 hour! This course is a gentle introduction to LLM evaluation for AI leaders. It explores the fundamentals of LLM evaluations and observability, from evaluation methods and benchmarks to LLM guardrails and LLM judges. You will learn to build LLM evaluation datasets, use synthetic data to run LLM evals, create custom LLM evaluators, and check your app for AI risks and vulnerabilities. The course also covers practical examples of evaluating complex LLM systems like RAGs, Q&A systems, and AI agents. The course is designed for AI product managers and everyone interested in grasping the core concepts of LLM quality and observability. No coding skills are required to take the course.

What happens when you tweak your prompt, switch model versions, or update the toolchain for your LLM agent – will the answers get better or worse? You wouldn’t merge backend code without running tests. You shouldn’t ship LLM code or prompt changes without validating output quality, either. Now you don’t have to. We just released a GitHub Action that lets you automatically test your LLM application outputs  – every time you push code. It runs as part of your CI workflow, using the Evidently open-source library and (optionally) Evidently Cloud. Let’s walk through what it does and how to use it. 🤖 Why test LLM outputs? Developing LLM apps means constant iteration. You: Refactor the agent logic Adjust system prompts Swap a model or tool Try a few “quick” fixes… But even tiny changes can produce regressions: less helpful responses, shorter or longer completions, or weird tone shifts. And they’re often silent – your code checks pass, but your LLM behavior changes. By running tests on your LLM or agent’s outputs – not just your functions – you can catch these changes early. Regression testing for LLM apps is one of the key LLM evaluation workflows. In this approach, you run evaluations on a pre-built test dataset to check if your AI system or agent still behaves as expected. There are two common ways to do this: Reference-based evaluations: compare the generated responses against expected ground truth answers. Reference-free evaluations: provide a set of test inputs, then automatically assess specific qualities of the responses  – such as helpfulness, tone, correctness, or length. Think of it as unit testing – but for your LLM system’s behavior. And because language models are non-deterministic and designed to handle diverse, open-ended inputs, they’re best evaluated using structured test datasets rather than isolated test cases. Reference-based evals: comparing responses against expected ones.

If you’ve heard of the European Accessibility Act (EAA) and the June 28, 2025, compliance deadline, you may be wondering: What does it mean for me as a designer and for the UX industry as a whole? Whether you’re preparing for compliance or simply want to make sure you’re keeping up with best practices and consumer expectations, it’s time to make accessible design a priority. In this guide, we explain everything you need to know about the European Accessibility Act. We’ll also share practical steps to help you prioritise accessibility within your own design practice and ultimately create better products and experiences for everyone. What is the European Accessibility Act? The European Accessibility Act (EAA) is a law created by the European Union to ensure that crucial products and services are easier for people with disabilities to use. It means that things like websites, smartphones, ATMs, ticket machines, e-books, and public transport apps must be designed in a way that’s accessible to everyone, including people with vision, hearing, or mobility issues. The main goal of the Act is to create more inclusive products and services across Europe, with all EU member states being held to the same guidelines and standards. But the European Accessibility Act has actually been around since 2019, so why the sudden interest now? Although the Act has been in effect for years, 2025 marks an important compliance deadline. As of 28th June 2025, any new products or services launched within the European Union must fully comply with the EAA. Products and services that already exist have another five years — until 28th June 2030 — to meet accessibility standards. Beyond that, failure to comply may result in severe penalties. So, who exactly needs to take note of the EAA and prepare for compliance? Let’s take a look.

In 2023 and early 2024, SEO was all about scoring page-one rankings with backlinks, keywords, and structured data. But everything changed when Google launched its AI Overviews (formerly SGE). These AI-generated summaries now appear at the top of search results and cover around 13% of all Google queries, doubling since January 2025. Also, major publications are paying attention. The Verge and Android Central recently covered Google’s new Audio Overviews test, which reads out AI summaries aloud for mobile users. It means it’s even more important to make sure your answers are ready to go. That’s a big deal. Why? Because most users are now getting what they need straight from that summary without ever visiting your website. So, what do you do when people stop clicking? The goal isn’t just to rank anymore. It’s about making your content easier for AI tools like Google, ChatGPT, or Perplexity to understand and quote directly. That’s why SEO needs to evolve into Generative Engine Optimization (GEO)—optimizing your content so it’s precise, structured, and AI-ready. In this post, we’ll talk about AI overviews, how they impact SEO, and how you can start making your content visible in this AI-first search world. Let’s dive in. What Are AI Overviews? AI Overviews are summaries generated by Google’s artificial intelligence that appear at the top of search results. They pull information from multiple credible sources across the internet to provide quick, direct answers to user queries. These summaries can appear as short paragraphs, bullet points, tables, or formats. AI Overviews are most commonly triggered by informational, product-related, and planning queries. However, these are increasingly showing up for complex questions as well. Also, each overview often includes links to the sources below the summary to see where Google picked it. How Do AI Overviews Impact SEO? AI Overviews affect SEO by changing how people interact with search results. Instead of clicking on multiple websites, users now get direct answers at the top of the page. This shift affects SEO in three key ways: Increasing zero-click searches: Many users get answers directly from the AI summary and never click on any links. Traffic shifts: Sites featured in the AI overviews achieve more impressions, while others may notice a drop in organic traffic. Authority is significant: Google prefers to pull answers from credible sources, especially for YMYL topics like health, finance, or legal advice. Where it’s growing fastest: The March 2025 core update saw a massive increase in AI Overviews in previously less-covered sectors: Source: Industry Spikes in AIOs Entertainment queries up by 528% Restaurants saw a 387% jump Travel searches rose 381% So what does this mean for your website? If you’re not actively optimizing for these AI summaries, you’re probably losing visibility, even if you still rank on page one. So, track your keywords for AI Overview positioning. How to Optimize Your Content For Google AI Overview? 1. Create Clear and Useful Content Your content should answer questions clearly and directly to show up in Google’s AI Overviews. Start by giving a simple, factual answer at the top of the page or section. Avoid long intros or unnecessary details. Focus on what users want to know and explain it in a way that’s easy to understand. Example: If your page is about “best time to drink water,” open with a direct line like: “The best time to drink water is right after waking up and before meals to help digestion and hydration.” Keep your content unique, helpful, and focused on real questions people are asking. Don’t delay it with background stories or fluff. 2. Include Answer-Based Sections AI overviews focus on providing quick, direct information. So, write the content answering specific user queries and improve the chances of being quoted. Use questions as subheadings just like this section. Break down your content into bite-sized answers that match what people are asking. 3. Match Search Intent SEO, earlier, was about targeting exact-match keywords. Today, it’s about understanding what users are trying to do when they search. For example, someone searches for “best time to water plants.” The user will want a direct answer and not a 500-word-long story. So, match your content to what users want. You can break your content into several formats, like: Quick facts How-to searches Comparisons Short summaries Listicles Remember, matching intent equals more relevance to the AI overview and ultimately increases chances of getting featured. 4. Format Your Content Properly AI can scan structured content and identify exact snippets to use in summaries. So, format your content accordingly. Use short paragraphs and bullet points Add headings every few sections Add tables for comparisons Use Bold or Italics to highlight answers 5. Use Natural, Human Language When writing content, use natural language. Keep it clear and easily digestible to achieve a good readability score. You should avoid: Fancy words or jargon that are hard to understand Overly complex topics or terms Keyword stuffing that tricks search engines Following all these tips will help Google understand the content relevance and context and pull it to AI overviews. 6. Perform On-Page Optimization There’s a possibility that great content can get ignored if the page structure isn’t clear. On-page SEO helps AI understand your content better. Use clear H1–H3 headings to organize topics Add meta titles, meta descriptions, and alt text Include internal links to related content Keep paragraphs short and scannable You can use tools like SurferSEO or Frase to check your content structure, keyword placement, and readability score. It will help in better page optimization and increase the chances of AI citation. 7. Cite Credible Sources Linking your content to trusted sources is essential. It helps to showcase that your data is supported by Google’s reputable resources. As a result, the chances of content appearing in an AI overview increase. Also, it builds user trust. 8. Improve the User Experience Google notices when users bounce back quickly. Hence, keep your content mobile-friendly and quick-loading. Add helpful visuals like charts or graphs with alt text, as AI can’t see but can read descriptions. Also, ensure the UI/UX is clean and easy to navigate for users.

We all know that having a business website is essential, and in 2025, it’s a must-have. It’s where your customers find you, trust you, buy from you, and come back for more. Whether you’re a small business or scaling a startup, your choice of web development company leads to a website that drives growth. What about customer expectations? Users won’t return to a website after a bad experience. People want fast-loading sites, smooth mobile experiences, and content that feels useful. So, make sure your site is user-friendly and reliable. Otherwise, Google will skip over it, and so will your customers. As of May 2025, Google officially expanded AI overviews, prioritizing sites that offer quick performance, accessible content, and AI-enhanced user journeys. That means your site is ranked not just by SEO but by its usefulness and relevance. And when it comes to building a high-performing site, experience matters. A Clutch report found that businesses working with expert agencies launch 45% faster and see 33% better ROI. In this guide, we’ll help you choose a trusted web development company that understands your goals and helps you build not just a website, but long-term success. How to Choose the Right Web Development Company For Your Business Needs? Choosing a web development company doesn’t mean picking the first name on Google. It’s about finding an ideal team of web developers who understand your goals, fit your budget, and can meet your exact business needs. Let’s cover the aspects to consider when choosing the right web development company for your business requirements. 1. Start with Understanding Your Business Goals Ask yourself: What’s the purpose of the website? Is it for selling products, generating leads, booking services, or something else? Remember, a good web development partner will develop the solution around your goals and not only focus on how it looks. 2. Check Their Experience and Expertise The next step is to look for a company with proven experience. Read their case studies, if any. Ask them if they understand the latest techniques and practices like performance optimization, mobile-first design, and AI integrations. You can also ask for samples of similar projects they’ve done to assess their work experience, skills, and expertise. 3. Look Beyond the Portfolio An appealing website is not sufficient. You need a website that is quick-loading, performs well on search engines, and is conversion-oriented. See if they can handle site speed, SEO, security, and ongoing maintenance and support. In 2025, all these website aspects are non-negotiable. 4. See How They Communicate Good and transparent communication is vital. See if the web development company you’re looking to hire listens to and understands your needs. They should provide clear pricing, deadlines, and deliverables. It could be a worse choice if the company fails to provide clear answers and is not transparent in terms of communication. Consider other communication aspects like: Project management Response time Regular updates and a feedback loop 5. Read Reviews and Ask for References It is always better to check previous customer reviews and feedback on platforms like Clutch, Google reviews, and Reddit. Also, see what people have to say about pricing, work quality, customer service, and expertise. It will give a brief of the company’s working standards, customer satisfaction, and how well-versed their team of developers is. 6. Understand Their Process A well-defined and transparent workflow is essential for a smooth web development experience. Ask the company about their process of handling the projects from the initial consultation to finish. Ask what project management tools they use to ensure continuous work progress and that everyone is aligned throughout the process. Find out the communication channels they use to provide work updates. Regular timelines and reports can prevent miscommunication. Make sure you’ll be assigned a dedicated project manager as a point of contact to seek clarification regarding testing, upgrades, or any feedback. Knowing the development process of the web development company you hire can help avoid surprises and keep your project on time and within budget. 7. Make Sure They’re Thinking of Long-Term Partnership Every business needs to understand that its website should be developed for flexibility and scalability. Therefore, look for a web development company that helps you scale, adapt, and grow your business. Ask the company about upgrades and maintenance services, and if they want a long-term partnership or are looking for one-time projects. A reliable web development services company prioritizes long-term partnerships and will provide maintenance and support services along with implementing best website security practices. Thus, meeting all the development requirements.

If you’re wondering whether WordPress is still the best CMS in 2025, the answer is yes. It’s still the top pick for most people, powering around 44% of all websites and over 60% of those using a content management system. WordPress continues to be the best CMS choice despite the rise of no-code tools, headless platforms, and AI site builders. The reason is that it’s flexible, easy to manage, and backed by a huge community of developers, designers, and plugin development pros. Big names like The New York Times, NASA, and PlayStation still use WordPress. Google’s Web Creators team recently called WordPress one of the easiest platforms to optimize for performance and Core Web Vitals. One Reddit user asked, “Is there still demand for WordPress websites?” Source: r/WordPress Dozens of responses were in support of WordPress, stating it as a go-to platform for almost all kinds of web projects in 2025. This highlights the platform’s popularity and the development freedom and control it has to offer. And WordPress isn’t just surviving, it’s improving every day. The full-site editing experience with Gutenberg blocks has gotten much better, offering users more control without requiring a developer’s help for minimal modifications. So yes, WordPress is still very much relevant in 2025. In this blog, we’ll show why WordPress still leads, what makes it reliable, and how it compares to newer CMS options What Makes WordPress a Popular CMS Choice in 2025? So, what exactly keeps WordPress on top after all these years? It’s not just momentum. It’s the way WordPress continues to meet the needs of users, from small business owners to large teams, while providing development flexibility. Here’s what still makes WordPress the go-to CMS in 2025: Open-source and free-to-use WordPress is open-source and completely free. Anyone can download it, install it, modify it, and make it their own without any additional expenses. Huge Plugin Ecosystem Need a contact form? SEO help? Want to build a full online store? There’s a plugin for almost everything. Source: WordPress Plugins From Elementor for easy page building, and Yoast SEO for optimization, to WooCommerce for eCommerce, WordPress gives you tools without any need to code from scratch. Global Developer Community WordPress boasts a global community of developers, contributors, freelancers, and agencies. It provides access to regular updates, tons of learning resources, and answers to almost any issue you run into. WordPress in 2025: Strengths That Still Set It Apart Even in 2025, WordPress is still the one most people stick with when there are tons of new website builders around, and the reasons are clear. It’s easy to use, flexible for any kind of site, and gives you control without making things complicated. Here’s what makes WordPress a solid choice today: Great for SEO WordPress gives you a solid SEO foundation from the start. But when you pair it with plugins like Yoast SEO or Rank Math, you get full control over titles, meta tags, sitemaps, schema markup, and more. Also, many themes are lightweight and optimized for Core Web Vitals, which makes it easier to rank. As a result, you don’t need to be an SEO expert to make your pages search-friendly. Built for Content and Blogging WordPress started as a blogging platform, and that strength hasn’t gone anywhere. Whether you’re publishing once a month or daily, WordPress handles content creation smoothly. The block editor makes writing and formatting easy, even for non-tech users. Ideally, WordPress is one of the easiest platforms to keep things organized and consistent if your business relies on regular content. Works for Both Developers and Beginners Developers love WordPress because it’s open-source and easy to extend. But it’s also great for non-coders, thanks to themes, visual editors like Elementor, and drag-and-drop plugins. Whether you’re a solo creator or part of a large team, WordPress gives you the tools that fit your skill level. Versatile for Any Website Type WordPress isn’t just for blogs. It’s widely used for eCommerce sites, online courses, membership platforms, and more. You can go simple or scale up without switching platforms. You won’t outgrow WordPress because it grows with you.

Can AI tools help develop better websites than traditional development, and should we even try? AI tools are changing how websites are built. But that doesn’t mean human developers are being replaced. Many businesses now use AI to support development teams, not to replace them. According to a recent GitHub report, developers who use AI tools like GitHub Copilot code up to 55% faster and say they’re more focused on solving real problems rather than writing repetitive code. Source: GitHub Copilot Usage Report Platforms like Vercel have also launched AI-driven features that turn simple prompts into working front-end components, cutting dev time significantly. Google launched the Gemini 2.5 Pro version as a “thinking model” with improved reasoning, capable of solving complex development problems more accurately. Source: Search Arena Leaderboard This highlights how AI tools for web development can help handle technical complexities and support web developers. The goal isn’t to remove people from the process; it’s to help them work smarter and get more done. How Does Development Using AI Tools Differ From Traditional Development? AI tools for web development can handle routine coding tasks, build layouts, or even generate UI components. But they still lack something crucial: judgment, context, and human creativity. Humans understand real business goals. They ask the right questions. They know that a website isn’t just about visuals, it’s about solving problems, improving experience, and driving results. AI can’t fully replace that. The best approach in 2025 is to blend both: use AI to speed up the technical coding requirements and then rely on skilled developers to refine, test, and align everything.