During her nearly two decades working in cybersecurity, Tina Williams-Koroma has heard the same question asked time and time again by potential customers: Will this update cause our current system to stop working?
Unfortunately there isn’t always a clear “yes” or “no” answer and this has left security improvements sitting on the shelves for months at a time—giving cybercriminals an opportunity to target any system vulnerabilities.
“When those weaknesses are published, malicious minds can see what they are,” said Tina, who was recently named a recipient of the Google for Startups Black Founders Fund. So in 2019, she took the challenge to heart and set out to “develop a tool that can help organizations clearly see the functional business impact of these changes before they make it to production.” With that, CyDeploy was born.
When cybersecurity teams want to implement new protective measures—such as multi-factor authentication or patches for current vulnerabilities—the testing process is typically done manually. Teams will make the update to a live system, then wait to see if anything breaks. Not only are these tests tedious and time-consuming, but they’re usually performed during off-hours to avoid disrupting business operations, which forces security teams to work nights or weekends.
CyDeploy is shattering this deep-rooted status quo. With the help of AI and machine learning, CyDeploy creates a cloud-based replica of a company’s system that allows security teams to test solutions safely, quickly, and securely without having to implement them on a live system. This isolated environment also automates functional tests so teams can immediately see the effects and make updates with confidence.