Autonomous Intelligent Agents for Natural-Language-Driven Web Execution with Integrated Security Assurance
A new paper presents an AI-driven autonomous testing framework designed to enhance web execution and security assurance. The framework significantly improves script generation success and reduces navigation failures and timing-related race conditions. It also allows for natural-language-driven security testing, detecting a high percentage of vulnerabilities with low false positive rates.
- ▪The framework improves script generation success from 55% to 93%.
- ▪It achieves an 8x reduction in navigation failures and eliminates 80% of timing-related race conditions.
- ▪The framework reduces test creation time by 75% compared to manual Selenium authoring.
- ▪It detects 85% of authentication bypass vulnerabilities and 95% of input validation flaws.
- ▪Natural-language-driven security testing is a novel contribution to the field.
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| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.15281 |
| Publication time | Mon, 18 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-18T04:04:54.418Z |
| Last seen | 2026-05-18T04:04:54.418Z |
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| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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Computer Science > Cryptography and Security arXiv:2605.15281 (cs) [Submitted on 14 May 2026] Title:Autonomous Intelligent Agents for Natural-Language-Driven Web Execution with Integrated Security Assurance Authors:Vinil Pasupuleti, Siva Rama Krishna Varma Bayyavarapu, Shrey Tyagi View a PDF of the paper titled Autonomous Intelligent Agents for Natural-Language-Driven Web Execution with Integrated Security Assurance, by Vinil Pasupuleti and 2 other authors View PDF HTML (experimental) Abstract:Modern web test suites rot. A UI refactor breaks locators, a timing change causes race conditions, and within weeks developers abandon the suite entirely.
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