--- title: Data poisoning in AI models: what businesses need to know description: Data poisoning is a cyberattack where malicious or corrupted data is introduced into AI training datasets, causing models to learn wrong patterns, produce... canonical: https://daily.dev/posts/data-poisoning-in-ai-models-what-businesses-need-to-know-wd6zen9yw twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Data poisoning in AI models: what businesses need to know | daily.dev og:description: Data poisoning is a cyberattack where malicious or corrupted data is introduced into AI training datasets, causing models to learn wrong patterns, produce... og:url: https://daily.dev/posts/data-poisoning-in-ai-models-what-businesses-need-to-know-wd6zen9yw og:image: https://api.daily.dev/og/posts/wD6ZEn9yw.png og:image:alt: Data poisoning in AI models: what businesses need to know og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Data poisoning in AI models: what businesses need to know **[TechCentral](https://daily.dev/sources/techcentral)** · 4 min read · 0 upvotes · 0 comments ## Summary Data poisoning is a cyberattack where malicious or corrupted data is introduced into AI training datasets, causing models to learn wrong patterns, produce inaccurate results, or contain hidden exploitable triggers. Attacks can occur via insider access, public dataset manipulation, or automated content generation. The piece distinguishes data poisoning (affecting training time) from prompt injection (affecting inference time), and offers basic mitigation advice: use trusted data sources, restrict edit access, and monitor AI outputs for anomalies. The content is published by Domains.co.za as a promotional piece tied to their web hosting and security services. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What is the difference between data poisoning and prompt injection in AI systems? Data poisoning corrupts the data a model learns from before or during training, so the flawed behavior persists into future use. Prompt injection happens at inference time, when an attacker embeds hidden or explicit instructions in a prompt, website, or document to manipulate a response immediately. One alters the model permanently, the other manipulates a single interaction. _Teams weighing AI security risks can track explainers like this on daily.dev alongside broader threat coverage._ ### What is a targeted data poisoning attack versus a non-targeted one? A targeted attack manipulates training data so the model fails in one specific situation, such as a cybersecurity model misclassifying a particular malware type as safe. A non-targeted attack instead degrades overall accuracy, making things like spam filters, recommendation engines, or malware detectors generally less reliable across the board. _Developers securing ML pipelines can follow attack pattern breakdowns like this on daily.dev._ ### How can a business reduce the risk of data poisoning in its AI tools? Reduce exposure by using trusted data sources, avoiding unverified files, outdated content, or scraped data from unknown origins, and limiting who can edit site content, product details, support articles, and customer records. Also monitor AI outputs for sudden accuracy drops, strange answers, repeated errors, or biased responses to catch poisoning before it causes damage. _Anyone hardening AI systems against data poisoning can gather practical mitigation tips on daily.dev._ ## Similar posts on daily.dev - [Data Poisoning in Machine Learning: Why and How People Manipulate Training Data](https://daily.dev/posts/data-poisoning-in-machine-learning-why-and-how-people-manipulate-training-data-z7eiyh1wq) · Towards Data Science · 2 upvotes · 0 comments - [Poisoned truth: The quiet security threat inside enterprise AI](https://daily.dev/posts/poisoned-truth-the-quiet-security-threat-inside-enterprise-ai-p6knaifxc) · CSO Online · 1 upvotes · 0 comments - [Your tests can’t catch a poisoned model](https://daily.dev/posts/your-tests-can-t-catch-a-poisoned-model-no5etuirt) · LeadDev · 0 upvotes · 0 comments - [AI insiders seek to poison the data that feeds them](https://daily.dev/posts/ai-insiders-seek-to-poison-the-data-that-feeds-them-ulqinttaz) · The Register · 0 upvotes · 0 comments - [Understanding ML Model Poisoning: How It Happens and How to Detect It](https://daily.dev/posts/understanding-ml-model-poisoning-how-it-happens-and-how-to-detect-it-ecbqam4ha) · InfoQ · 0 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#llm](https://daily.dev/tags/llm), [#ai-security](https://daily.dev/tags/ai-security), [#prompt-injection](https://daily.dev/tags/prompt-injection) [View this post on daily.dev](https://daily.dev/posts/data-poisoning-in-ai-models-what-businesses-need-to-know-wd6zen9yw) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Data poisoning in AI models: what businesses need to know","url":"https://daily.dev/posts/data-poisoning-in-ai-models-what-businesses-need-to-know-wd6zen9yw","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/data-poisoning-in-ai-models-what-businesses-need-to-know-wd6zen9yw"},"datePublished":"2026-07-21T08:14:38.632Z","dateModified":"2026-09-14T06:13:52.026Z","description":"Data poisoning is a cyberattack where malicious or corrupted data is introduced into AI training datasets, causing models to learn wrong patterns, produce...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/a0380047708cb02d293930f9a36a70a7?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/a0380047708cb02d293930f9a36a70a7?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"TechCentral","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"TechCentral","logo":"https://media.daily.dev/image/upload/s--RsqLDZrL--/f_auto/v1717745297/logos/techcentral","url":"https://daily.dev/sources/techcentral"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/data-poisoning-in-ai-models-what-businesses-need-to-know-wd6zen9yw","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"machine-learning,llm,ai-security,prompt-injection","timeRequired":"PT4M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"TechCentral","item":"https://daily.dev/sources/techcentral"},{"@type":"ListItem","position":3,"name":"Data poisoning in AI models: what businesses need to know"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/data-poisoning-in-ai-models-what-businesses-need-to-know-wd6zen9yw#faq","mainEntity":[{"@type":"Question","name":"What is the difference between data poisoning and prompt injection in AI systems?","acceptedAnswer":{"@type":"Answer","text":"Data poisoning corrupts the data a model learns from before or during training, so the flawed behavior persists into future use. 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