--- title: How AI Agents Can Trigger Runaway Costs for Enterprises description: Unbounded consumption, ranked sixth in OWASP's 2026 Top 10 for LLM Applications, describes the risk of AI applications and agents racking up massive,... canonical: https://daily.dev/posts/how-ai-agents-can-trigger-runaway-costs-for-enterprises-1nrrxscyo twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: How AI Agents Can Trigger Runaway Costs for Enterprises | daily.dev og:description: Unbounded consumption, ranked sixth in OWASP's 2026 Top 10 for LLM Applications, describes the risk of AI applications and agents racking up massive,... og:url: https://daily.dev/posts/how-ai-agents-can-trigger-runaway-costs-for-enterprises-1nrrxscyo og:image: https://api.daily.dev/og/posts/1nRRxsCyo.png og:image:alt: How AI Agents Can Trigger Runaway Costs for Enterprises 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. # How AI Agents Can Trigger Runaway Costs for Enterprises **[Dark Reading](https://daily.dev/sources/dr)** · 5 min read · 0 upvotes · 0 comments ## Summary Unbounded consumption, ranked sixth in OWASP's 2026 Top 10 for LLM Applications, describes the risk of AI applications and agents racking up massive, unexpected compute costs due to missing controls on resource usage. Forcepoint researcher Jyotika Singh outlined five variants: denial of wallet via leaked API keys, agent tool fan-out from malicious linked content, reasoning loop exhaustion through crafted prompts, context accumulation in long-running sessions, and model extraction through mass querying of exposed endpoints. Mitigations include hard spending/token caps, limiting agent steps and loop-backs, detecting repetitive loops, and applying sandboxing plus least-privilege access controls. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What is unbounded consumption in the OWASP Top 10 for LLM applications? Unbounded consumption is a vulnerability ranked sixth in OWASP's 2026 Top 10 for LLM Applications, describing a missing control over how much compute, cost, or resource a request is allowed to use. Rather than causing downtime, it lets service costs climb far past budgeted levels, a pattern called denial of wallet, and can also enable model theft. _Teams securing AI agent deployments follow emerging LLM risk categories like this one on daily.dev._ ### How can an AI agent's normal behavior cause runaway compute costs without violating its instructions? Attackers can exploit agent tool fan-out: compromising a blog post or document an AI agent is likely to retrieve, then seeding it with hundreds of fake related links. When the agent follows each link during a legitimate research task, and those links point to still more links, it triggers a runaway chain of retrieval activity that drives up the victim's compute costs. _Developers building retrieval-driven AI agents track attack patterns like this via daily.dev._ ### How does context accumulation drive up per-message costs in long AI chat sessions? In a long-running session without reset controls, the model reprocesses the entire conversation history with every new message, so cost grows as the transcript grows. In one example, a support chat left open for 150+ exchanges saw per-message cost creep up roughly 100x by the 100th turn because each reply reprocessed a transcript as long as a short story. _Anyone tuning session limits for AI chat agents can follow cost-control practices like these on daily.dev._ ## Similar posts on daily.dev - [6 Big Risks of Letting AI Make API Requests](https://daily.dev/posts/6-big-risks-of-letting-ai-make-api-requests-k1elizpoy) · Nordic APIs · 1 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 - [Managing agentic AI risk: Lessons from the OWASP Top 10](https://daily.dev/posts/managing-agentic-ai-risk-lessons-from-the-owasp-top-10-dkauj1rfw) · CSO Online · 1 upvotes · 0 comments - [The AI Security Paradox – How Shadow AI Became the Enterprise’s Biggest Blind Spot](https://daily.dev/posts/the-ai-security-paradox-how-shadow-ai-became-the-enterprise-s-biggest-blind-spot-vq6uqlt6x) · Cisco · 1 upvotes · 0 comments - [The Security Risks of AI Agents in the Enterprise \| Kovrr](https://daily.dev/posts/the-security-risks-of-ai-agents-in-the-enterprise-kovrr-u9b2dhpvi) · Security Boulevard · 0 upvotes · 0 comments --- Tags: [#security](https://daily.dev/tags/security), [#ai-agents](https://daily.dev/tags/ai-agents), [#finops](https://daily.dev/tags/finops) [View this post on daily.dev](https://daily.dev/posts/how-ai-agents-can-trigger-runaway-costs-for-enterprises-1nrrxscyo) ```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":"How AI Agents Can Trigger Runaway Costs for Enterprises","url":"https://daily.dev/posts/how-ai-agents-can-trigger-runaway-costs-for-enterprises-1nrrxscyo","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/how-ai-agents-can-trigger-runaway-costs-for-enterprises-1nrrxscyo"},"datePublished":"2026-09-21T21:56:36.587Z","dateModified":"2026-09-21T21:57:02.311Z","description":"Unbounded consumption, ranked sixth in OWASP's 2026 Top 10 for LLM Applications, describes the risk of AI applications and agents racking up massive,...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/4ec33274786063795c3c1b8d39c5fb87?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/4ec33274786063795c3c1b8d39c5fb87?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Dark Reading","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":"Dark Reading","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/dr","url":"https://daily.dev/sources/dr"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/how-ai-agents-can-trigger-runaway-costs-for-enterprises-1nrrxscyo","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"security,ai-agents,finops","timeRequired":"PT5M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Dark Reading","item":"https://daily.dev/sources/dr"},{"@type":"ListItem","position":3,"name":"How AI Agents Can Trigger Runaway Costs for Enterprises"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/how-ai-agents-can-trigger-runaway-costs-for-enterprises-1nrrxscyo#faq","mainEntity":[{"@type":"Question","name":"What is unbounded consumption in the OWASP Top 10 for LLM applications?","acceptedAnswer":{"@type":"Answer","text":"Unbounded consumption is a vulnerability ranked sixth in OWASP's 2026 Top 10 for LLM Applications, describing a missing control over how much compute, cost, or resource a request is allowed to use. Rather than causing downtime, it lets service costs climb far past budgeted levels, a pattern called denial of wallet, and can also enable model theft. Teams securing AI agent deployments follow emerging LLM risk categories like this one on daily.dev."}},{"@type":"Question","name":"How can an AI agent's normal behavior cause runaway compute costs without violating its instructions?","acceptedAnswer":{"@type":"Answer","text":"Attackers can exploit agent tool fan-out: compromising a blog post or document an AI agent is likely to retrieve, then seeding it with hundreds of fake related links. When the agent follows each link during a legitimate research task, and those links point to still more links, it triggers a runaway chain of retrieval activity that drives up the victim's compute costs. Developers building retrieval-driven AI agents track attack patterns like this via daily.dev."}},{"@type":"Question","name":"How does context accumulation drive up per-message costs in long AI chat sessions?","acceptedAnswer":{"@type":"Answer","text":"In a long-running session without reset controls, the model reprocesses the entire conversation history with every new message, so cost grows as the transcript grows. In one example, a support chat left open for 150+ exchanges saw per-message cost creep up roughly 100x by the 100th turn because each reply reprocessed a transcript as long as a short story. Anyone tuning session limits for AI chat agents can follow cost-control practices like these on daily.dev."}}]} ```