Thank you to ransomware.live for providing the data!
In this quick demo, I walk you through a powerful example of using AI-driven automatic transforms to handle complex data requests in real-time. Recently, during a customer demo, I was asked to demonstrate the capabilities of our AI transform tool with a specific payload. Watch as I showcase how effortlessly we can pull data, execute HTTP requests, and group it by country to display information on specific mentions — such as victims by location.
In this video, I guide you step-by-step through:
- Using the AI automatic transform feature to manage large data blocks
- Generating grouped data outputs by country with just a few commands
- Exploring the potential for manipulating data dynamically, including showing victims in Australia and the U.S.
- Demonstrating the ransomware.live data source for added security insights
Whether you’re new to data transformation or an experienced user, this video offers a clear, hands-on look at how automated AI tools can streamline your data analysis process.
Resources Mentioned:
- Ransomware.live — a range of security-focused data points for analysis
- The Tines Story — import and run it in your own workspace
Frequently Asked Questions
What is the Tines automatic transform feature used for in this demo? It handles complex, real-time data transformation — specifically grouping ransomware victim data from ransomware.live by country using an AI-driven HTTP request and transform pipeline, all without writing custom code.
What data source does this demo use? The demo uses ransomware.live, a public dataset that tracks ransomware incidents and victims globally, providing structured security data points for analysis.
Can I run this Tines Story in my own workspace? Yes. The Story is published in the Tines Library. You can import it directly into your workspace using the link in this post and start running it within minutes — no build required.