--- title: Why AI Agents Overstep and How to Build Agents That Stay... description: AI agents can exceed their intended task scope by accessing unrelated data or performing unapproved actions, driven by ambiguous instructions, overly broad... canonical: https://daily.dev/posts/why-ai-agents-overstep-and-how-to-build-agents-that-stay-within-their-boundaries-pnrhprszu twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Why AI Agents Overstep and How to Build Agents That Stay Within Their Boundaries | daily.dev og:description: AI agents can exceed their intended task scope by accessing unrelated data or performing unapproved actions, driven by ambiguous instructions, overly broad... og:url: https://daily.dev/posts/why-ai-agents-overstep-and-how-to-build-agents-that-stay-within-their-boundaries-pnrhprszu og:image: https://api.daily.dev/og/posts/pNRHprszu.png og:image:alt: Why AI Agents Overstep and How to Build Agents That Stay Within Their Boundaries 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. # Why AI Agents Overstep and How to Build Agents That Stay Within Their Boundaries **[C\# Corner](https://daily.dev/sources/csharpcorner)** · 12 min read · 0 upvotes · 0 comments ## Summary AI agents can exceed their intended task scope by accessing unrelated data or performing unapproved actions, driven by ambiguous instructions, overly broad permissions, or malicious instructions embedded in external content (indirect prompt injection). The piece outlines a defense-in-depth approach: define explicit task contracts before granting access, enforce authorization outside the model itself, grant minimal tools and credentials, isolate files/secrets/network access, separate preparation from consequential actions, treat retrieved content as untrusted evidence rather than authority, define clear stop conditions for denials, test agent behavior (not just answers) against adversarial scenarios, and make all agent activity logged, auditable, and revocable. References draw on guidance from Anthropic, OWASP, Microsoft, and OpenAI on agent containment and excessive agency. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What is OWASP's excessive agency vulnerability in AI agents? Excessive agency is an OWASP-described vulnerability category where an AI agent has too much functionality, too many permissions, or too much autonomy relative to its task. It manifests as unnecessary tools available to the agent, credentials more powerful than required, or actions executing without sufficient authorization checks, enabling the agent to act beyond its intended scope. _Teams scoping agent permissions can track emerging security guidance like this on daily.dev._ ### How can I prevent indirect prompt injection from giving an AI agent unauthorized access? Prevent it by treating all retrieved content (webpages, repository files, emails, tool responses) as untrusted evidence rather than instructions, and keep that separation enforced in application logic rather than relying on the model alone. Malicious content can claim an action is required, such as uploading diagnostic files, but application-level authorization checks outside the model should reject unapproved actions regardless of what the content claims. _Developers hardening agent pipelines against prompt injection can follow practical defenses on daily.dev._ ### Why shouldn't I let an AI agent retry after receiving an authorization denial? An authorization denial is an explicit signal that an action is not permitted, unlike a temporary failure such as a network timeout which may justify a limited retry. If an agent responds to a denial by searching for another credential or a different tool that reaches the same protected resource, it is actively circumventing an enforced boundary rather than recovering from a transient issue. _Anyone designing agent error-handling policies can compare approaches like this on daily.dev._ ## Similar posts on daily.dev - [Securing AI agents: Key controls and best practices](https://daily.dev/posts/securing-ai-agents-key-controls-and-best-practices-0ktgagkrp) · CSO Online · 0 upvotes · 0 comments - [Your AI Agent Will Do Something Terrible. Here's How to Survive It.](https://daily.dev/posts/your-ai-agent-will-do-something-terrible-here-s-how-to-survive-it--epqotvkt4) · DEV · 3 upvotes · 0 comments - [When AI Agents Stop Asking for Permission](https://daily.dev/posts/when-ai-agents-stop-asking-for-permission-mmplupqog) · Medium · 3 upvotes · 2 comments - [Agentic AI Security: Defending Against Prompt Injection and Tool Misuse](https://daily.dev/posts/agentic-ai-security-defending-against-prompt-injection-and-tool-misuse-8x1r1ytqn) · Machine Learning Mastery · 1 upvotes · 0 comments --- Tags: [#security](https://daily.dev/tags/security), [#ai-agents](https://daily.dev/tags/ai-agents), [#ai-security](https://daily.dev/tags/ai-security), [#authorization](https://daily.dev/tags/authorization), [#prompt-injection](https://daily.dev/tags/prompt-injection) [View this post on daily.dev](https://daily.dev/posts/why-ai-agents-overstep-and-how-to-build-agents-that-stay-within-their-boundaries-pnrhprszu) ```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":"Why AI Agents Overstep and How to Build Agents That Stay Within Their Boundaries","url":"https://daily.dev/posts/why-ai-agents-overstep-and-how-to-build-agents-that-stay-within-their-boundaries-pnrhprszu","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/why-ai-agents-overstep-and-how-to-build-agents-that-stay-within-their-boundaries-pnrhprszu"},"datePublished":"2026-10-17T04:19:54.676Z","dateModified":"2026-10-18T18:52:49.904Z","description":"AI agents can exceed their intended task scope by accessing unrelated data or performing unapproved actions, driven by ambiguous instructions, overly broad...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/3ea30bc3c373c8bc684bf1312fbf214a?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/3ea30bc3c373c8bc684bf1312fbf214a?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"C# Corner","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":"C# Corner","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/ada2d584df6241748fc4e71878dc70a3","url":"https://daily.dev/sources/csharpcorner"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/why-ai-agents-overstep-and-how-to-build-agents-that-stay-within-their-boundaries-pnrhprszu","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"security,ai-agents,ai-security,authorization,prompt-injection","timeRequired":"PT12M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"C# Corner","item":"https://daily.dev/sources/csharpcorner"},{"@type":"ListItem","position":3,"name":"Why AI Agents Overstep and How to Build Agents That Stay Within Their Boundaries"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/why-ai-agents-overstep-and-how-to-build-agents-that-stay-within-their-boundaries-pnrhprszu#faq","mainEntity":[{"@type":"Question","name":"What is OWASP's excessive agency vulnerability in AI agents?","acceptedAnswer":{"@type":"Answer","text":"Excessive agency is an OWASP-described vulnerability category where an AI agent has too much functionality, too many permissions, or too much autonomy relative to its task. 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