Windocks
Windocks provides on-demand Oracle, SQL Server, as well as other databases that can be customized for Dev, Test, Reporting, ML, DevOps, and DevOps. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Databases can be delivered to conventional instances, Kubernetes or Docker containers.
Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments. When combined with Docker containers, enterprises often see a 5:1 reduction of lower-level database VMs.
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Satori
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.
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Oracle Data Masking and Subsetting
The increasing risks to security and the rise of stringent privacy laws have necessitated a more cautious approach to handling sensitive information. Oracle Data Masking and Subsetting offers database users a solution to enhance security, streamline compliance efforts, and lower IT expenses by sanitizing production data copies for use in testing, development, and various other functions, while also allowing for the removal of superfluous data. This tool allows for the extraction, obfuscation, and sharing of both full copies and subsets of application data with partners, whether they are within or outside the organization. By doing so, it ensures the database's integrity remains intact, thus supporting the ongoing functionality of applications. Additionally, Application Data Modeling automatically identifies columns within Oracle Database tables that contain sensitive data through established discovery patterns, including national IDs, credit card details, and other forms of personally identifiable information. Furthermore, it can recognize and map parent-child relationships that are defined within the database structure, enhancing the overall data management process.
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HashiCorp Vault
Ensure the protection, storage, and stringent management of tokens, passwords, certificates, and encryption keys that are essential for safeguarding sensitive information, utilizing options like a user interface, command-line interface, or HTTP API. Strengthen applications and systems through machine identity while automating the processes of credential issuance, rotation, and additional tasks. Facilitate the attestation of application and workload identities by using Vault as a reliable authority. Numerous organizations often find credentials embedded within source code, dispersed across configuration files and management tools, or kept in plaintext within version control systems, wikis, and shared storage. It is crucial to protect these credentials from being exposed, and in the event of a leak, to ensure that the organization can swiftly revoke access and remedy the situation, making it a multifaceted challenge that requires careful consideration and strategy. Addressing this issue not only enhances security but also builds trust in the overall system integrity.
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