Safetica
Safetica Intelligent Data Security protects sensitive enterprise data wherever your team uses it.
Safetica is a global software company that provides Data Loss Prevention and Insider Risk Management solutions to organizations.
✔️ Know what to protect: Accurately pinpoint personally identifiable information, intellectual property, financial data, and more, wherever it is utilized across the enterprise, cloud, and endpoint devices.
✔️ Prevent threats: Identify and address risky activities through automatic detection of unusual file access, email interactions, and web activity. Receive the alerts necessary to proactively identify risks and prevent data breaches.
✔️ Secure your data: Block unauthorized exposure of sensitive personal data, trade secrets, and intellectual property.
✔️ Work smarter: Assist teams with real-time data handling cues as they access and share sensitive information.
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Google Cloud BigQuery
BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises.
Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.
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Google Cloud Analytics Hub
Google Cloud's Analytics Hub serves as a data exchange platform that empowers organizations to share data assets securely and efficiently beyond their internal boundaries, tackling issues related to data integrity and associated costs. Leveraging the robust scalability and adaptability of BigQuery, it enables users to create a comprehensive library encompassing both internal and external datasets, including distinctive data like Google Trends. The platform simplifies the publication, discovery, and subscription processes for data exchanges, eliminating the need for data transfers and enhancing the ease of access to data and analytical resources. Additionally, Analytics Hub ensures privacy-safe and secure data sharing through stringent governance practices, incorporating advanced security features and encryption protocols from BigQuery, Cloud IAM, and VPC Security Controls. By utilizing Analytics Hub, organizations can maximize the return on their data investment through effective data exchange strategies, while also fostering collaboration across different departments. Ultimately, this innovative platform enhances data-driven decision-making by providing seamless access to a wider array of data assets.
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AWS Data Exchange
AWS Data Exchange is a service designed to streamline the process of discovering, subscribing to, and utilizing third-party data within the cloud environment. It features an extensive catalog comprising over 3,500 data sets sourced from more than 300 different data providers, which include a variety of formats such as data files, tables, and APIs. This platform allows users to efficiently manage data procurement and governance by centralizing all third-party data subscriptions in one location while also providing the option to transfer existing subscriptions without incurring additional fees. Furthermore, AWS Data Exchange guarantees secure and compliant data usage by integrating with AWS Identity and Access Management (IAM) and offering data encryption both at rest and during transmission. Users can easily incorporate the subscribed data into their AWS ecosystem, enhancing their capabilities for analytics and machine learning projects. The service accommodates multiple data delivery methods, including direct access to data stored in Amazon S3 buckets managed by data providers, enabling subscribers to leverage these files with AWS solutions such as Amazon Athena and Amazon EMR. This comprehensive approach ensures that organizations can harness the power of third-party data while maintaining control and security throughout the process.
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