CyDeploy wants to create a replica of a company’s system to help it test updates before pushing them out — catch it at Disrupt 2025

In the fast-paced world of software development, companies face the constant challenge of balancing swift updates to thwart cyber threats while ensuring those updates don’t disrupt existing operations. Enter CyDeploy, a promising startup aiming to revolutionize this process. Founded by Tina Williams-Koroma, CyDeploy leverages machine learning to meticulously observe and document an organization’s crucial systems. The core concept is to create a 'digital twin' of these systems, allowing businesses to conduct tests on this replica before applying changes to their live environments. Williams-Koroma explained to TechCrunch that the platform records user interactions and activities on a daily basis, enabling it to learn and label system behaviors accurately. To ensure accuracy, a human system administrator from the client’s team oversees the process, confirming the machine learning algorithms' interpretations. This hybrid approach minimizes the risk of errors and enhances the reliability of the testing phase. As CyDeploy prepares to showcase its innovation as a Top 20 finalist in the Startup Battlefield at the upcoming TechCrunch Disrupt conference, Williams-Koroma highlighted the speed at which the platform can generate functional test scripts. These scripts reflect typical daily usage and allow system administrators to identify potential issues efficiently. Customers have the option to utilize CyDeploy’s proprietary large language model, ensuring that sensitive data remains secure within their infrastructure, or opt for OpenAI’s model, which would necessitate external data handling. Targeting critical applications and servers, CyDeploy focuses on facilitating rapid changes necessary for security while maintaining operational stability. For those interested in discovering more about CyDeploy and a host of other innovative startups, the TechCrunch Disrupt event will take place from October 27 to 29 in San Francisco, featuring pitches and discussions on multiple stages.