Best Cloud Security Software for Google Cloud Storage

Cribl Stream allows you create an observability pipeline that helps you parse and restructure data in flight before you pay to analyze it. You can get the right data in the format you need, at the right place and in the format you want. Translate and format data into any tooling scheme you need to route data to the right tool for the job or all of the job tools. Different departments can choose different analytics environments without the need to deploy new forwarders or agents. Log and metric data can go unused up to 50%. This includes duplicate data, null fields, and fields with zero analytical value. Cribl Stream allows you to trim waste data streams and only analyze what you need. Cribl Stream is the best way for multiple data formats to be integrated into trusted tools that you use for IT and Security. Cribl Stream universal receiver can be used to collect data from any machine source - and to schedule batch collection from REST APIs (Kinesis Firehose), Raw HTTP and Microsoft Office 365 APIs.

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.

Occasionally, organizations face difficulties in securely sharing and collaborating on files with external entities such as clients and partners who do not belong to their identity management systems. NirvaShare addresses these concerns by managing access, security, and compliance for sharing files stored in the cloud with outside users. In addition to being compatible with cloud deployments, NirvaShare can also be implemented within your on-premise infrastructure, linking seamlessly to existing S3-compatible or other supported storage systems, thus facilitating file sharing for both internal and external stakeholders. When sharing files or folders, users can easily define specific access permissions, such as who has the ability to download, upload, or delete content. It is also straightforward to link groups and users from your Active Directory or any other identity provider. Notably, NirvaShare is engineered to efficiently handle large file transfers, accommodating sizes that can reach several tens of gigabytes, all while maintaining remarkably low resource usage. This makes it an ideal solution for organizations looking to streamline their file-sharing processes securely and effectively.

The security and risk management solution for Google Cloud enables you to gain insights into the number of projects you manage, oversee the resources in use, and control the addition or removal of service accounts. This platform helps you detect security misconfigurations and compliance issues within your Google Cloud infrastructure, providing actionable recommendations to address these concerns. It also allows you to identify potential threats targeting your resources through log analysis and utilizes Google's specialized threat intelligence, employing kernel-level instrumentation to pinpoint possible container compromises. In addition, you can monitor your assets in near real-time across various services such as App Engine, BigQuery, Cloud SQL, Cloud Storage, Compute Engine, Cloud Identity and Access Management, and Google Kubernetes Engine. By reviewing historical discovery scans, you can track new, altered, or deleted assets, ensuring a comprehensive understanding of the security posture of your Google Cloud environment. Furthermore, the platform helps detect prevalent web application vulnerabilities, including cross-site scripting and the use of outdated libraries, thereby enhancing your overall security strategy. This proactive approach not only safeguards your assets but also streamlines compliance efforts in an ever-evolving digital landscape.

Theom is an advanced cloud data security solution designed to uncover and safeguard all types of data found in cloud storage, APIs, and message queues. Much like a vigilant bodyguard dedicated to protecting valuable assets, Theom ensures that security measures are consistently applied to data, regardless of its storage or access method. By utilizing agentless scanning and natural language processing classifiers, Theom effectively identifies personally identifiable information (PII), protected health information (PHI), financial data, and trade secrets, while accommodating customized taxonomies. Additionally, it reveals dark data—information that remains unused—and shadow data, which has a different security posture compared to its primary version. Theom excels in locating sensitive information, such as developer keys, within APIs and message queues. To assist organizations in prioritizing threats, Theom also assesses the financial impact of data. Furthermore, it maps the intricate relationships between datasets, access identities, and their associated security features, thereby revealing potential vulnerabilities. By illustrating how valuable data is accessed by different identities, such as users and roles, Theom provides a comprehensive view of security attributes, including user location and unusual access patterns. This holistic approach empowers organizations to make informed decisions about their data security strategies.

Tenzir is a specialized data pipeline engine tailored for security teams, streamlining the processes of collecting, transforming, enriching, and routing security data throughout its entire lifecycle. It allows users to efficiently aggregate information from multiple sources, convert unstructured data into structured formats, and adjust it as necessary. By optimizing data volume and lowering costs, Tenzir also supports alignment with standardized schemas such as OCSF, ASIM, and ECS. Additionally, it guarantees compliance through features like data anonymization and enhances data by incorporating context from threats, assets, and vulnerabilities. With capabilities for real-time detection, it stores data in an efficient Parquet format within object storage systems. Users are empowered to quickly search for and retrieve essential data, as well as to reactivate dormant data into operational status. The design of Tenzir emphasizes flexibility, enabling deployment as code and seamless integration into pre-existing workflows, ultimately seeking to cut SIEM expenses while providing comprehensive control over data management. This approach not only enhances the effectiveness of security operations but also fosters a more streamlined workflow for teams dealing with complex security data.