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CyDeploy wants to create a replica of a company’s system to help it test updatesbefore pushing them out — catch it at Disrupt 2025
CyDeploy aims to assist companies in testing software updates safely by creating 'digital twins' of their systems using machine learning before deployment. Founder Tina Williams-Koroma emphasizes the balance between security updates and system stability. CyDeploy is a finalist at TechCrunch Disrupt 2025, showcasing innovative solutions for software maintenance.
Key points
- CyDeploy uses machine learning to observe and replicate critical company systems.
- This digital twin allows for safe testing of updates without impacting live systems.
- Human system administrators verify the machine learning outputs to prevent errors.
- CyDeploy speeds up the writing of test scripts reflecting normal operations.
- Customers can choose between using their own large language model or OpenAI's model for testing.
Why it matters
- As cybersecurity threats increase, rapid yet stable software updates are becoming crucial for businesses.
- The concept of digital twins is gaining traction across industries for testing and simulation, reflecting broader trends in IT and software development.
- In 2025, AI integration and enhanced cybersecurity measures are key trends shaping software development processes.
CyDeploy is positioning itself as a critical tool for companies needing to balance swift security updates with operational continuity, highlighting significant trends in AI and cybersecurity in software development for 2025.