CensysGPT Beta vs AskUI

CensysGPT Beta turns plain-language recon questions into Censys Search queries you can run against internet hosts. Security analysts describe targets like country, ports, or HTML titles, and the tool returns a formatted Censys query plus a link to open it in Censys Search for host intelligence work.

Manual query writing in Censys syntax slows threat hunts. CensysGPT Beta also translates legacy Censys strings, Shodan, ZoomEye, and BinaryEdge queries into Censys format, with an optional creative mode when you want broader query ideas. That focus keeps it a translator for Censys recon rather than a general chat assistant.

Censys positions the beta for proactive threat hunting and attack surface management. The page notes OpenAI GPT processes submitted text, shares queries with OpenAI, and opts out of model training on that data. Feedback goes to [email protected].

AskUI lets delivery teams automate real devices in plain English. You write a task as a Markdown file in Git, an AI agent runs it on desktop, web, mobile, or hardware displays, and returns a verdict plus a screenshot for every step.

Traditional test automation depends on DOM selectors and brittle scripts that break when UIs change. AskUI tests what is rendered on screen, including canvas apps, Citrix sessions, and QNX HMIs controlled through HDMI capture with nothing installed on the target. The trade-off is sales-led pricing quoted per concurrent agent after a scoping call, not self-serve monthly plans.

QA teams replace manual regression on legacy SAP portals and vendor RFQ systems. Automotive manufacturers run HMI regression across infotainment fleets. Operations teams generate audit evidence with screenshot-backed run reports from scheduled agent jobs.