Best Data Security Software for Google Cloud BigQuery

Satori is a Data Security Platform (DSP) that enables self-service data and analytics for data-driven companies. With Satori, users have a personal data portal where they can see all available datasets and gain immediate access to them. That means your data consumers get data access in seconds instead of weeks. Satori’s DSP dynamically applies the appropriate security and access policies, reducing manual data engineering work. Satori’s DSP manages access, permissions, security, and compliance policies - all from a single console. Satori continuously classifies sensitive data in all your data stores (databases, data lakes, and data warehouses), and dynamically tracks data usage while applying relevant security policies. Satori enables your data use to scale across the company while meeting all data security and compliance requirements.

Immuta's Data Access Platform is built to give data teams secure yet streamlined access to data. Every organization is grappling with complex data policies as rules and regulations around that data are ever-changing and increasing in number. Immuta empowers data teams by automating the discovery and classification of new and existing data to speed time to value; orchestrating the enforcement of data policies through Policy-as-code (PaC), data masking, and Privacy Enhancing Technologies (PETs) so that any technical or business owner can manage and keep it secure; and monitoring/auditing user and policy activity/history and how data is accessed through automation to ensure provable compliance. Immuta integrates with all of the leading cloud data platforms, including Snowflake, Databricks, Starburst, Trino, Amazon Redshift, Google BigQuery, and Azure Synapse. Our platform is able to transparently secure data access without impacting performance. With Immuta, data teams are able to speed up data access by 100x, decrease the number of policies required by 75x, and achieve provable compliance goals.

Our platform allows businesses to use data, including its application in advanced analysis, machine learning and AI, to do great things without worrying that customers, employees or intellectual property are at risk. The Protegrity Data Protection Platform does more than just protect data. It also classifies and discovers data, while protecting it. It is impossible to protect data you don't already know about. Our platform first categorizes data, allowing users the ability to classify the type of data that is most commonly in the public domain. Once those classifications are established, the platform uses machine learning algorithms to find that type of data. The platform uses classification and discovery to find the data that must be protected. The platform protects data behind many operational systems that are essential to business operations. It also provides privacy options such as tokenizing, encryption, and privacy methods.

It is difficult to create and manage data policies. With PACE, you can ensure that data is used in a secure manner. You can apply data policies to code, no matter where it is located. Say goodbye to costly meetings and long waits, and hello to your new open-source data security engine. Data policies aren't only about controlling access, they are also about extracting value from the data with the correct guardrails. PACE allows you to collaborate on the why, and when automating the code. With PACE, you can programmatically apply data policies across multiple platforms. Integrate into your data platform or catalog (optional) and leverage the native capabilities that you already have. PACE automates the application of policies across major data platforms and catalogs, easing your governance processes. Centralize control and decentralize the execution of policies. Auditing obligations can be met by demonstrating how controls are implemented.

Multi-cloud data security with a single pane of glass Industry's first SaaS access governance solution. Cloud is fragmented and data is scattered across different systems. Sensitive data is difficult to access and control due to limited visibility. Complex data onboarding hinders data scientist productivity. Data governance across services can be manual and fragmented. It can be time-consuming to securely move data to the cloud. Maximize visibility and assess the risk of sensitive data distributed across multiple cloud service providers. One system that enables you to manage multiple cloud services' data policies in a single place. Support RTBF, GDPR and other compliance requests across multiple cloud service providers. Securely move data to the cloud and enable Apache Ranger compliance policies. It is easier and quicker to transform sensitive data across multiple cloud databases and analytical platforms using one integrated system.

VPC Service Controls. Managed networking functionality for Google Cloud resources. In the first 90 days, new customers receive $300 in Google Cloud credits. All customers receive unlimited usage (up to a monthly limit) of selected products, including BigQuery or Compute Engine. Multi-tenant services can be isolated to reduce exfiltration risks. Secure sensitive data only from authorized networks Limit resource access to only authorized IP addresses, identities, or trusted client devices. You can control which Google Cloud services can be accessed from a VPC network. VPC Service Controls can be used to enforce a security perimeter and isolate resources from multi-tenant Google Cloud services. This will reduce the risk of data theft or breach. Private communication between cloud resources can be set up using VPC networks that span cloud and hybrid deployments. Cloud Storage, Bigtable and BigQuery are fully managed tools.

Secuvy, a next-generation cloud platform, automates data security, privacy compliance, and governance via AI-driven workflows. Unstructured data is treated with the best data intelligence. Secuvy, a next-generation cloud platform that automates data security, privacy compliance, and governance via AI-driven workflows is called Secuvy. Unstructured data is treated with the best data intelligence. Automated data discovery, customizable subjects access requests, user validations and data maps & workflows to comply with privacy regulations such as the ccpa or gdpr. Data intelligence is used to locate sensitive and private information in multiple data stores, both in motion and at rest. Our mission is to assist organizations in protecting their brand, automating processes, and improving customer trust in a world that is rapidly changing. We want to reduce human effort, costs and errors in handling sensitive data.

As enterprise data explodes and is scattered across multiple systems, the oversight of privacy, data security and governance has become a very difficult task. Businesses are exposed to significant risks, including data breaches, privacy suits, and penalties. It takes months to find data privacy risks within an organization. A team of data engineers is involved in the effort. Data breaches and privacy legislation are forcing companies to better understand who has access to data and how it is used. Enterprise data is complex. Even if a team works for months to isolate data privacy risks, they may not be able to quickly find ways to reduce them.

Find out in minutes if you have sensitive data hidden in places that you didn't expect (Screenshots and logs, messages, tickets, tables, messages). LightBeam's executive or delta reports can be generated with just one click to gain valuable insight into your sensitive data. Automate DSRs by leveraging LightBeam’s unique PII/PHI charts, which are comprehensively created based on your data infrastructure. By giving your users control over the data they collect, you can build trust with them. Monitor how sensitive data are collected, shared and maintained within your organization.

Velotix empowers organizations to unlock the true value of their data while maintaining the highest standards of security and compliance in today’s complex regulatory landscape. The Velotix Data Security Platform offers a comprehensive suite of features, including AI-driven data discovery, automated policy enforcement, and granular, dynamic access controls that adapt to the evolving needs of businesses. Designed to seamlessly integrate with multi-cloud and hybrid environments, Velotix simplifies data management, enabling secure, self-service access to data without compromising governance or risking compliance violations. With Velotix, organizations can optimize the use of their data while ensuring that security policies are enforced consistently and efficiently across all platforms. The platform’s advanced workflows and automation capabilities help reduce manual overhead, streamline data processes, and minimize the risk of human error. This results in faster, more informed decision-making while protecting sensitive data assets.

Theom is a cloud security product that protects all data stored in cloud stores, APIs and message queues. Theom acts like a bodyguard, protecting high-value assets by closely following and protecting them. Theom identifies PII and PHI using agentless scanning and NLP classifications that support custom taxonomies. Theom can identify dark data, which are data that are not accessible, and shadow data which is data whose security position is different from the primary copy. Theom identifies confidential data in APIs and message queues, such as developer keys. Theom calculates the financial value of data in order to help prioritize risks. To identify data risks, Theom maps the relationships among data, access identities, security attributes, and data. Theom shows how high-value information is accessed by identities (users or roles). Security attributes include user location, unusual access patterns, and others.

Protect, Monitor, and Discover enterprise sensitive data across multiple platforms and environments. Automate your subject rights response and demonstrate regulatory compliance - all in one solution

Monad, a cloud-based platform for security data, is designed to streamline the extraction of data, transformation and loading into a data warehouse. It allows security teams to export their data from their tools, convert it into custom data model, and deliver it to their data warehouses directly, facilitating seamless analysis and integration. The platform allows teams such as security, DevOps and cloud engineering to interact with data using SQL and business intelligence tools. This enhances their ability to normalize and transform data for improved compliance and security outcomes. Monad’s user-friendly interface, enterprise-grade connectors and data integration tools simplify the creation of a security data lakes. They help organizations unify their data silos to achieve better insights and analytics.