Google Cloud offers unparalleled security, scalability, and innovation. These features enable us to create advanced solutions that push the boundaries of modern real estate technology. Our choice of Google Cloud ensures our platforms are always up-to-date, secure, and capable of handling the demands of a rapidly evolving industry.
Google Cloud's Vertex AI is a comprehensive machine learning platform that lets you train and deploy ML models and AI applications. With Vertex AI, we can integrate advanced AI capabilities into our solutions, allowing us to enhance functionality and improve user experiences.
Vertex AI combines data engineering, data science, and ML engineering workflows, enabling our teams to collaborate using a common toolset. This platform supports every step of the machine learning lifecycle, from data preparation to model deployment, making it easier for us to develop and manage our AI-driven applications.
One of the standout features of Vertex AI is its ability to train and deploy models with significantly fewer lines of code compared to traditional methods. This efficiency allows us to bring innovative solutions to market faster, ensuring that we stay ahead in the competitive real estate technology landscape.
For more information, see Vertex AI on Google Cloud.
Is my data encrypted?
Cloud SQL customer data is encrypted when stored in database tables, temporary files, and backups. External connections can be encrypted by using SSL, or by using the Cloud SQL Auth Proxy.
How is encryption managed for data at rest?
Your data is encrypted using the 256-bit Advanced Encryption Standard (AES-256), or better, with symmetric keys: that is, the same key is used to encrypt the data when it is stored, and to decrypt it when it is used. These data keys are themselves encrypted using a key stored in a secure keystore, and changed regularly.
How is encryption managed for data in transit?
Google encrypts and authenticates all data in transit at one or more network layers when data moves outside physical boundaries not controlled by Google or on behalf of Google. Data in transit inside a physical boundary controlled by or on behalf of Google is generally authenticated but might not be encrypted by default. If you connect to an instance using its public IP address, use SSL/TLS certificates, so the data is secure during transmission. You can choose which additional security measures to apply based on your threat model. For example, you can configure SSL for intra-zone connections to Cloud SQL.
Security is a top priority for us, and Google Cloud provides world-class security features that protect our data and applications. With robust compliance standards, we ensure that all our operations meet the highest levels of regulatory requirements.
Google Cloud's scalable infrastructure allows us to grow and adapt quickly to market changes. This scalability ensures that our systems can handle increased workloads and provide consistent performance. The innovative tools and services offered by Google Cloud enable us to continuously enhance our offerings and stay ahead in the industry.
