OpenAI has launched a new benchmark that evaluates how well different AI models detect, patch, and even exploit security vulnerabilities found in crypto smart contracts. This development marks a significant step forward in the realm of smart contract security, as it assesses the capabilities of AI agents in identifying and mitigating potential threats. OpenAI released the \u201cEVMbench: Evaluating AI Agents on Smart Contract Security\u201d paper on Wednesday, in collaboration with crypto investment firm Paradigm and crypto security firm OtterSec, to evaluate how much the AI agents could theoretically exploit from 120 smart contract vulnerabilities.<\/p>\n
Anthropic\u2019s Claude Opus 4.6 came out on top with an average \u201cdetect award\u201d of $37,824, followed by OpenAI\u2019s OC-GPT-5.2 and Google\u2019s Gemini 3 Pro at $31,623 and $25,112, respectively.<\/p>\n
While AI agents are becoming increasingly efficient at handling basic tasks, OpenAI said it is becoming more important to evaluate their performance in \u201ceconomically meaningful environments.\u201d Smart contracts secure billions of dollars in assets, and AI agents are likely to be transformative for both attackers and defenders. We expect agentic stablecoin payments to grow, and help ground it in a domain of emerging practical importance.<\/p>\n
Circle CEO Jeremy Allaire predicted on Jan. 22 that billions of AI agents will be transacting with stablecoins for everyday payments on behalf of users within five years, while former Binance boss Changpeng \u201cCZ\u201d Zhao also recently tipped that crypto would end up being the \u201cnative currency for AI agents.\u201d The need to test agentic AI performance in spotting security vulnerabilities comes as attackers stole $3.4 billion worth of crypto funds in 2025, a marginal increase from 2024.<\/p>\n
EVMbench drew on 120 curated vulnerabilities from 40 smart contract audits, with most of them sourced from open-source audit competitions. OpenAI said it hopes the benchmark will help track AI progress in spotting and mitigating smart contract vulnerabilities at scale.<\/p>\n
In a post to X on Wednesday, Dragonfly\u2019s managing partner Haseeb Qureshi said crypto\u2019s promise of replacing property rights and legal contracts never materialized, not because the technology failed, but because it was never designed for human intuition. Qureshi said it still feels \u201cterrifying\u201d to sign large transactions, particularly with drainer wallets and other threats always present, whereas bank transfers rarely provoke the same fear.<\/p>\n
Instead, Qureshi believes the future of crypto transactions will be facilitated by AI-intermediated, self-driving wallets, which will take care of those threats and manage complex operations on behalf of users: \u201cA technology often snaps into place once its complement finally arrives. GPS had to wait for the smartphone, TCP\/IP had to wait for the browser. For crypto, we might just have found it in AI agents.\u201d<\/p>\n
Cointelegraph is committed to independent, transparent journalism. This news article is produced in accordance with Cointelegraph\u2019s Editorial Policy and aims to provide accurate and timely information. Readers are encouraged to verify information independently. For more information on this topic, visit Here<\/a><\/p>\n To stay safe in the world of crypto transactions, consider keeping your digital assets in reputable, secure wallets and regularly updating your security software to protect against the latest threats. By taking proactive steps to secure your digital assets, you can help mitigate potential risks and ensure a safer transaction experience.<\/p>\n","protected":false},"excerpt":{"rendered":" Introduction to AI-Powered Smart Contract Security OpenAI has launched a new benchmark that evaluates how well different AI models detect, patch, and even exploit security vulnerabilities found in crypto smart contracts. This development marks a significant step forward in the realm of smart contract security, as it assesses the capabilities of AI agents in identifying […]<\/p>\n","protected":false},"author":1,"featured_media":3888,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/images.cointelegraph.com\/cdn-cgi\/image\/f=auto,onerror=redirect,w=1200\/https:\/\/s3.cointelegraph.com\/uploads\/2026-01\/019bc192-e15f-7884-a100-56940fbf2535.jpg","fifu_image_alt":"","footnotes":""},"categories":[13],"tags":[],"class_list":{"0":"post-3887","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-crypto"},"_links":{"self":[{"href":"https:\/\/sosahustle.com\/blog\/wp-json\/wp\/v2\/posts\/3887","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sosahustle.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sosahustle.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sosahustle.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sosahustle.com\/blog\/wp-json\/wp\/v2\/comments?post=3887"}],"version-history":[{"count":1,"href":"https:\/\/sosahustle.com\/blog\/wp-json\/wp\/v2\/posts\/3887\/revisions"}],"predecessor-version":[{"id":3889,"href":"https:\/\/sosahustle.com\/blog\/wp-json\/wp\/v2\/posts\/3887\/revisions\/3889"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sosahustle.com\/blog\/wp-json\/wp\/v2\/media\/3888"}],"wp:attachment":[{"href":"https:\/\/sosahustle.com\/blog\/wp-json\/wp\/v2\/media?parent=3887"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sosahustle.com\/blog\/wp-json\/wp\/v2\/categories?post=3887"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sosahustle.com\/blog\/wp-json\/wp\/v2\/tags?post=3887"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Smart Tip for Readers<\/h2>\n