Amazon released Amazon Nova Act, a synthetic monitoring solution, to help teams identify and resolve user interface issues before customers encounter them. It is the company's first major update to its synthetic monitoring capabilities since the introduction of its foundational infrastructure tools.
Amazon Nova Act demonstrated over 90% accuracy on browser workflows in early enterprise use cases, a significant improvement over traditional selector-based approaches that often fail immediately with UI changes. That compares with the previous accuracy rates of selector-based frameworks, which the source notes are often below 90% in dynamic environments.
Nova Act is built on a multimodal large language model that processes UI screenshots instead of relying on Document Object Model locators, making it more resilient to UI changes. Availability begins with a public preview, initially for enterprise customers and developers looking to implement synthetic monitoring for critical customer journeys.
"Traditional browser automation frameworks like Selenium and Playwright rely on explicit Document Object Model (DOM) locators and selectors, which creates brittleness," said a representative from Amazon. "Nova Act replaces selector-based scripts with vision and language reasoning, adapting when styling changes without requiring script updates."
The announcement follows Amazon's ongoing efforts to enhance its cloud infrastructure for machine learning and automation. Amazon said the tool is designed to help organizations move beyond brittle UI scripts toward resilient, managed journey validation.
Amazon did not say how the tool will perform in complex, multi-step workflows, and it raised the question of whether adaptation will always succeed in all UI scenarios. The company said teams should test on their own sites and design monitors with retry logic for cases where adaptation does not succeed.
Source: awsml
