Source URL: https://cloud.google.com/blog/products/data-analytics/learn-how-to-build-a-secure-data-platform-with-google-cloud-ebook/
Source: Cloud Blog
Title: Secure your data ecosystem: a multi-layered approach with Google Cloud
Feedly Summary: It’s an exciting time in the world of data and analytics, with more organizations harnessing the power of data and AI to help transform and grow their businesses. But in a threat landscape with increasingly sophisticated attacks around every corner, ensuring the security and integrity of that data is critical.
Google Cloud offers a comprehensive suite of tools to help protect your data while unlocking its potential. In our new ebook, Building a Secure Data Platform with Google Cloud, we dig into the many data security capabilities within Google Cloud and share how they can help support data-based innovation strategies.
Take a peek inside the ebook, then download the full version here.
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Unlock data platform-level security with BigQueryBigQuery, Google Cloud’s unified data platform, offers a robust set of integrated security features to help you safeguard your data. The platform automatically encrypts all data at rest, which provides a foundational layer of defense against unauthorized access. For data sharing, BigQuery Analytics Hub and data clean rooms allow you to efficiently, securely, and easily share data across organizational boundaries. The platform also includes Dataplex, which enables you to implement comprehensive policies to govern how data is accessed, used, and shared within your organization.
Shield assets with granular access controls and guardrailsWith Cloud Identity and Access Management (IAM), you can manage access to critical data across BigQuery, Cloud Run, Cloud Run functions, and Google Kubernetes Engine (GKE) resources. Organization restrictions place further limits on which users can access resources in your organization. Combined with Cloud IAM, this feature supports your organization policies and helps you maintain a secure perimeter around your Google Cloud environment.
Create security boundaries with perimeter and data protectionGoogle Cloud offers several ways to reinforce your perimeter. VPC Service Controls help prevent data exfiltration from cloud resources, providing precise control over access and movement by external entities or by insiders.
Meanwhile, with Sensitive Data Protection, you can identify and classify your sensitive data within BigQuery, which can help you implement targeted protection measures such as masking, tokenization, and redaction. You can also gain even more granular control over your encryption keys with Customer-managed encryption keys for BigQuery.
Strengthen data security posture with automated monitoring and complianceEstablishing robust security controls for your data is essential for improving your security posture, but it’s just as important to monitor your environment for threats and maintain compliance with industry standards. Security Command Center gives you a comprehensive view of your security posture with direct visibility into your BigQuery datasets. With Cloud Logging, you can collect, store, and analyze logs to gain insights into system activities, detect anomalies, and respond to security incidents. Assured Workloads further simplifies compliance, providing peace of mind that you’ve established strong baseline controls and compliant configurations.
All-in-one data security with integrated solutions from Google Cloud
Building a secure data ecosystem requires a multi-layered approach. With comprehensive security features from Google Cloud, you can safeguard your sensitive data, comply with industry regulations, and discover the full potential of your data. Dive deeper into these tools, solutions, and strategies in the full ebook — Building a Secure Data Platform with Google Cloud — to ensure the safety and integrity of your organization’s most valuable asset. Download the full version here.
AI Summary and Description: Yes
Summary: The text discusses the significance of data and analytics in business growth and emphasizes the importance of security in a landscape with sophisticated cyber threats. It highlights Google’s suite of tools for data protection, focusing on features within Google Cloud, such as BigQuery and Cloud IAM, designed to enhance data security and compliance.
Detailed Description:
The provided text outlines the essential role of data and analytics in transforming organizations while emphasizing the necessity of securing this data amid evolving cyber threats. Google Cloud outlines its capabilities aimed at ensuring data security, allowing businesses to harness the benefits of data innovation securely.
Key points include:
– **Data Protection Commitment**: Google Cloud is shown to provide a comprehensive suite of tools that assist organizations in safeguarding their data while maximizing its utility.
– **BigQuery Features**:
– Automatic encryption of data at rest serves as a foundational measure against unauthorized access.
– Tools like the Analytics Hub and data clean rooms facilitate secure data sharing across organizational boundaries.
– **Access Control**:
– Cloud Identity and Access Management (IAM) allows for meticulous resource access control, which is crucial for protecting sensitive data.
– Organization restrictions enhance security by defining user access within organizational parameters.
– **Perimeter and Data Protection**:
– VPC Service Controls are highlighted for preventing unauthorized data exfiltration.
– Sensitive Data Protection functionalities help identify and classify sensitive data, enabling organizations to apply targeted protection strategies.
– **Monitoring and Compliance**:
– Automated monitoring through the Security Command Center aids organizations in visualizing their overall security posture.
– Tools like Cloud Logging and Assured Workloads facilitate continuous compliance with industry standards.
– **Integrated Security Approach**:
– A multi-layered security strategy is advocated for building a secure data ecosystem, ensuring that organizations can protect sensitive information, adhere to regulations, and leverage data effectively.
In summary, this text serves as a guide for professionals in AI, cloud security, and data management, illustrating the importance of integrated security solutions in leveraging data for innovation while maintaining compliance and data integrity. It emphasizes the necessity of adopting a robust security framework within cloud-based environments to safeguard organizational assets.