--- title: WWDC26: Meet Trust Insights | Apple | daily.dev description: Apple's Trust Insights is a new iOS 27 framework that helps apps detect social engineering and coercion attacks by analyzing behavioral context. Unlike... canonical: https://daily.dev/posts/wwdc26-meet-trust-insights-apple-inybquqqn twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: WWDC26: Meet Trust Insights | Apple | daily.dev og:description: Apple's Trust Insights is a new iOS 27 framework that helps apps detect social engineering and coercion attacks by analyzing behavioral context. Unlike... og:url: https://daily.dev/posts/wwdc26-meet-trust-insights-apple-inybquqqn og:image: https://api.daily.dev/og/posts/iNyBQUqQN.png og:image:alt: WWDC26: Meet Trust Insights | Apple 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. # WWDC26: Meet Trust Insights | Apple **[Apple Developer](https://daily.dev/sources/appledeveloper)** · 13 min read · 0 upvotes · 0 comments ## Summary Apple's Trust Insights is a new iOS 27 framework that helps apps detect social engineering and coercion attacks by analyzing behavioral context. Unlike traditional authentication, it identifies whether a user is acting freely or being coached by an attacker in real time. The Swift API uses on-device ML to evaluate interaction patterns, timing, and sensor data without sharing data with Apple or third parties. Developers configure an entitlement, create an InsightEvaluator with an operation category (payment, account, communication, etc.), and receive a risk signal (unknown, medium, high) to adjust app friction accordingly. Mandatory real-time consumption feedback and optional offline fraud labels help improve the model. Key use cases include high-value financial transactions, irreversible actions, and sensitive data sharing. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [How developers are using Apple’s local AI models with iOS 26](https://daily.dev/posts/how-developers-are-using-apple-s-local-ai-models-with-ios-26-f1svjq7kq) · TechCrunch · 0 upvotes · 0 comments - [How developers are using Apple’s local AI models with iOS 26](https://daily.dev/posts/how-developers-are-using-apple-s-local-ai-models-with-ios-26-0mhbpmkgu) · TechCrunch · 0 upvotes · 0 comments --- Tags: [#security](https://daily.dev/tags/security), [#ios](https://daily.dev/tags/ios), [#swift](https://daily.dev/tags/swift), [#fraud-detection](https://daily.dev/tags/fraud-detection) [View this post on daily.dev](https://daily.dev/posts/wwdc26-meet-trust-insights-apple-inybquqqn) ```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":"WWDC26: Meet Trust Insights | Apple","url":"https://daily.dev/posts/wwdc26-meet-trust-insights-apple-inybquqqn","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/wwdc26-meet-trust-insights-apple-inybquqqn"},"datePublished":"2026-06-08T21:25:21.802Z","dateModified":"2026-06-08T21:31:52.944Z","description":"Apple's Trust Insights is a new iOS 27 framework that helps apps detect social engineering and coercion attacks by analyzing behavioral context. 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