Navigating cloud risks in the growing AI threat landscape

AI and cloud computing may sound like a complex combination, but the two technologies have long been present in our daily lives. When we ask Alexa to set a 15-minute cooking timer, use Google Maps to find a new route around a traffic jam or, more recently, ask ChatGPT to write us a tricky Excel formula, we depend on a seamless interplay between AI and the cloud. But AI is also being integrated into the cloud in much more advanced and mission-critical ways, which brings both major benefits and risks.

Data accelerated: our increasing dependence on AI and the cloud

Today, organizations in industries such as e-commerce, banking and manufacturing are using the AI ​​cloud combination to automate proprietary manufacturing processes and decipher sensitive data sets. Major technology players such as Google are using it to improve business operations through predictive analytics and anomaly detection. Even healthcare is becoming dependent on AI and the cloud. Researchers use AI to search millions of cloud-based pharmaceutical items to discover patterns and uncover breakthrough biomedical relationships that could lead to life-saving drug discoveries.