{"id":25764,"date":"2025-12-03T08:30:38","date_gmt":"2025-12-03T13:30:38","guid":{"rendered":"https:\/\/www.insightpartners.com\/?p=25764"},"modified":"2025-12-03T12:01:32","modified_gmt":"2025-12-03T17:01:32","slug":"promptfoo-scale-up-ai","status":"publish","type":"post","link":"https:\/\/www.insightpartners.com\/ideas\/promptfoo-scale-up-ai\/","title":{"rendered":"How Promptfoo is restoring trust and security in generative AI"},"content":{"rendered":"<p>As <a href=\"https:\/\/www.insightpartners.com\/ideas\/generative-ai-stack\/\">generative AI<\/a> has advanced, it has exposed gaping holes in cybersecurity defenses.<\/p>\n<p>Traditional cybersecurity tools were built for predictable software systems, where vulnerabilities lie in the logic or structure of code.<\/p>\n<p>Large language models, by contrast, operate in natural language and context. An attacker can manipulate a model simply by talking to it, using prompts or jailbreaks to trick it into revealing data, executing unintended instructions, or bypassing safeguards.<\/p>\n<p>Put simply, old-school defenses aren\u2019t reliable because they\u2019re designed to read code, not conversation.<\/p>\n<p>AI vulnerability testing platform <a href=\"https:\/\/www.promptfoo.dev\/\">Promptfoo<\/a> was founded to close this gap. \u201cWhen you deploy AI, you&#8217;re taking on certain risks, mainly around security, safety, legal, compliance, and policy,\u201d says CEO and cofounder <a href=\"https:\/\/www.linkedin.com\/in\/ianww\/\">Ian Webster<\/a>. \u201cWhat we do at Promptfoo is find and fix vulnerabilities in generative AI.\u201d<\/p>\n<p><iframe loading=\"lazy\" title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/CIUKSemfMSE?si=G9IHwJB4FnY9VTu7\" width=\"800\" height=\"450\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<h2>Cracking the code<\/h2>\n<p>The idea for Promptfoo came to Webster while he was working as a senior software engineer at Discord in 2022. When he began leading a team that built LLM-based products, he saw firsthand that traditional testing and security methods could not secure genAI systems as they moved from prototypes to production.<\/p>\n<p>\u201cI was responsible for shipping AI to 200 million users,\u201d he says. \u201cAnd in doing that, I learned all of the wonderful things, and also a lot of the terrible things, that follow when you put AI in front of so many people.\u201d<\/p>\n<p>He designed the first version of Promptfoo as an open-source tool \u2014 \u201cjust something that I was doing for fun on the side\u201d \u2014 to help application developers like him test, discover, and fix LLM failures.<\/p>\n<p>Webster worked on the project solo for two years before his longtime friend <a href=\"https:\/\/www.linkedin.com\/in\/michaelldangelo\/\">Michael D\u2019Angelo<\/a>, a former VP of engineering and head of machine learning at identity verification company Smile ID, joined as cofounder and CTO.<\/p>\n<p>The platform struck a chord with developers from the start. When it officially launched in July 2024, with <a href=\"https:\/\/www.promptfoo.dev\/blog\/seed-announcement\/\">$5M in seed funding<\/a>, it was already serving <a href=\"https:\/\/www.promptfoo.dev\/blog\/seed-announcement\/\">25,000 software engineers<\/a> at companies like Shopify, Amazon, and Anthropic.<\/p>\n<h2>Machines testing machines<\/h2>\n<p>Promptfoo remains open source, but the company now offers a managed cloud or on-premise option for organizations needing advanced features, support, scale, and compliance.<\/p>\n<p>\u201cWhat&#8217;s happening today across many enterprises is that there is great appetite for \u2026 building new and exciting things with AI, but in order to productionize them and ensure their safety, security, and reliability, there&#8217;s a lot of work that needs to be done,\u201d Webster says.<\/p>\n<p>With Promptfoo, developers and security teams can rigorously test and fortify their AI applications against malicious behavior and vulnerabilities before they are deployed to users. \u201cYou can basically think of it as a vulnerability scanner,\u201d says Webster.<\/p>\n<blockquote>\n<p style=\"padding-left: 40px;\"><em>\u201cWe help companies bridge the gap from rough prototype to something \u2026 hardened and battle-ready for the real world.\u201d<\/em><\/p>\n<\/blockquote>\n<p>Instead of manual testing, Promptfoo\u2019s software <a href=\"https:\/\/mindgard.ai\/blog\/red-teaming\">red teams<\/a> a customer\u2019s AI application by talking directly to it through the chat interface or APIs, using specialized AI models and <a href=\"https:\/\/www.insightpartners.com\/ideas\/state-of-the-ai-agent-ecosystem-use-cases-and-learnings-for-technology-builders-and-buyers\/\">Agents<\/a> that behave exactly like users \u2014 or specifically, like attackers trying to deceive the system.<\/p>\n<p>When an attack succeeds, Promptfoo records it, analyzes why it worked, and automatically iterates through an agentic reasoning loop to refine the test and uncover deeper flaws, turning exploits into a blueprint for stronger defenses.<\/p>\n<h2>&#8220;There&#8217;s no time to lose&#8221;<\/h2>\n<p>Adoption has been rapid: Today, Promptfoo serves more than 200,000 developers and over 80 Fortune 500 companies. In July 2025, the company raised an <a href=\"https:\/\/www.insightpartners.com\/ideas\/promptfoo-raises-18-4-million-series-a-to-build-definitive-ai-security-stack\/\">$18.4M Series A<\/a>, led by Insight Partners.<\/p>\n<p>The funding <a href=\"https:\/\/www.insightpartners.com\/ideas\/promptfoo-raises-18-4-million-series-a-to-build-definitive-ai-security-stack\/\">will drive Promptfoo\u2019s next phase<\/a> of growth as it continues to define the standard for enterprise AI security, expand its team, and speed up platform development to meet surging demand from Global 2000 organizations.<\/p>\n<p>\u201cWe&#8217;re in a space that is pretty hot [and] crowded,\u201d notes Webster. \u201cGlobal 2000 companies are going to be buying or making decisions in the AI security space in the next 12 months or so. So there\u2019s no time to lose.\u201d<\/p>\n<p>Promptfoo is <a href=\"https:\/\/www.promptfoo.dev\/blog\/series-a-announcement\/\">hiring aggressively<\/a> across research, engineering, and go-to-market, but Webster says he isn\u2019t just looking to get \u201cthe smartest people in a room together\u201d.<\/p>\n<p>\u201cI don&#8217;t believe that that&#8217;s a recipe for success, at least not alone.\u201d He\u2019s more interested in what drives prospective employees. \u201cDo you wake up in the morning and think, what can you ship today? What are your goals for the week?\u201d<\/p>\n<h2>Autonomous and multi-agent systems of the future<\/h2>\n<p>Promptfoo is scaling into a rapidly changing security landscape. As enterprise AI systems evolve beyond simple chatbots, it won\u2019t be as easy to diagnose system issues, says Webster. \u201cAs applications become agents with sub-agents or more complicated workflows, it\u2019s going to be hard to take that black-box approach.\u201d<\/p>\n<p>Instead, Promptfoo focuses on observability \u2014 giving teams deep visibility into what\u2019s happening inside production-scale agentic systems. \u201cIt\u2019s going to become more important that people instrument their applications,\u201d Webster predicts, \u201cand there\u2019s a feedback loop from that instrumentation into the software that is doing the red teaming or security testing.\u201d<\/p>\n<p>In preparation for the next wave of autonomous and multi-agent systems, Promptfoo\u2019s future releases will introduce chain-level tracing, <a href=\"https:\/\/modelcontextprotocol.io\/docs\/getting-started\/intro\">Model Context Protocol<\/a> (MCP) integration, and a test-driven development framework for prompt evaluation. Together, these make security testing continuous and automated for any AI deployment.<\/p>\n<h2>Beyond the agentic hype<\/h2>\n<p>Despite industry buzz, Webster believes we are yet to discover AI\u2019s full potential. \u201cI think that we are only scratching the surface,\u201d he says. \u201cAt Promptfoo, we work with some of the largest companies in the world \u2014 Fortune 500-type companies that have big plans around agents, but are still trying to figure out some of the basics in terms of infrastructure security.\u201d<\/p>\n<p>Mainstream adoption is still to come. \u201cWhile there&#8217;s a lot of talk and hype around agents \u2026 they have not reached the vast majority of enterprise processes, internal workflows, and certainly not end-user-facing software.\u201d<\/p>\n<p>Still, Webster thinks that the real transformation is coming. \u201cI think AI is underhyped in terms of the change that it will create in business and large enterprises and consumer habits. \u2026 I also think that we&#8217;ll see AI pop up in places that we really don&#8217;t expect. It&#8217;ll just become easier to add things with AI, rather than to use existing solutions.\u201d<\/p>\n<blockquote>\n<p style=\"padding-left: 40px;\"><em>\u201cThe whole software industry looks so different five years, 10 years from now, and that&#8217;s going to ripple out in so many different ways.\u201d<\/em><\/p>\n<\/blockquote>\n<p>As an engineer, he\u2019s already felt that change firsthand. \u201cJust seeing how [AI] has completely altered my personal engineering workflows over the past couple of years has been very substantial.\u201d<\/p>\n<h2>Factoring in &#8220;real-world considerations&#8221;<\/h2>\n<p>From Webster\u2019s perspective, developers are years ahead of the rest of the world when it comes to AI. He would like to close the gap between \u201creal-world considerations, like security and policy,\u201d and the people actually building AI.<\/p>\n<blockquote>\n<p style=\"padding-left: 40px;\"><em>\u201cIf we want to see a world where AI really benefits people and companies, we need to put those tools in the hands of developers.\u201d<\/em><\/p>\n<\/blockquote>\n<p>As AI systems become more autonomous, he argues, the responsibility to keep them safe must move closer to the people building them. That means building AI that\u2019s as intelligent as it is accountable \u2014 systems that can be trusted because they were designed to be tested.<\/p>\n<hr \/>\n<p><i><span style=\"font-weight: 400;\">*Note: Insight has invested in Promptfoo. This article is part of our <a href=\"https:\/\/www.insightpartners.com\/ideas\/search\/?tax=category&amp;term=scaleup-ai\">ScaleUp:AI 2025 Partner Series<\/a>, highlighting insights from the companies and leaders shaping the future of AI.<\/span><\/i><\/p>\n","protected":false},"excerpt":{"rendered":"<p>As generative AI has advanced, it has exposed gaping holes in cybersecurity defenses. Traditional cybersecurity tools were built for predictable software systems, where vulnerabilities lie in the logic or structure of code. Large language models, by contrast, operate in natural language and context. An attacker can manipulate a model simply by talking to it, using [&hellip;]<\/p>\n","protected":false},"author":36,"featured_media":25855,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[21,35,132,141],"tags":[],"class_list":["post-25764","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-article","category-post-format-video","category-software-leaders","category-scaleup-ai","topic-stories","domain-ai-ml"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v23.1 (Yoast SEO v23.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How Promptfoo is restoring trust and security in generative AI | Insight Partners<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.insightpartners.com\/ideas\/promptfoo-scale-up-ai\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How Promptfoo is restoring trust and security in generative AI\" \/>\n<meta property=\"og:description\" content=\"As generative AI has advanced, it has exposed gaping holes in cybersecurity defenses. 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An attacker can manipulate a model simply by talking to it, using [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.insightpartners.com\/ideas\/promptfoo-scale-up-ai\/\" \/>\n<meta property=\"og:site_name\" content=\"Insight Partners\" \/>\n<meta property=\"article:published_time\" content=\"2025-12-03T13:30:38+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-12-03T17:01:32+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.insightpartners.com\/wp-content\/uploads\/2025\/11\/ScaleUp-blog-images-3.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1280\" \/>\n\t<meta property=\"og:image:height\" content=\"720\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Cecilia Beard\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@insightpartners\" \/>\n<meta name=\"twitter:site\" content=\"@insightpartners\" \/>\n<meta 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