Enforce fine-grained access control at the column-, row-, and cell-level, with consistent, native enforcement across all leading cloud data platforms — without writing code or copying data.
- Policy creation and enforcement requires manual effort that takes months
- Enforcement is data platform-specific, not universal
- Thousands of lines of SQL code required
- Automated access takes seconds
- Enforcement works consistently across platforms
- Limited or no code required
Fine-Grained Data Security
Dynamic Data Masking
Apply dynamic masking policies at query runtime with hashing, regular expression, rounding, conditional masking, replacing with null or constant, with reversibility, with format preserving masking, and with k-anonymization, as well as external masking, without the need to write code or copy data.Dynamic Data Masking
Orchestrate policy enforcement by mapping powerful ABAC and PBAC models to foundational access controls, without running unsupported data access patterns by the data platform vendor or impacting SLAs.
Secure Data Collaboration
Data-level zones automatically equalize access rights for all users, making it easy and safe to publish derived data sets without leaking data to users with different permissions.
Access Request Workflows
Self-service workflows enable data consumers to request access to data, acknowledge approved usage purposes, request access control changes, and propose new data collaboration projects.
Organizations using service accounts from BI dashboards can impersonate each end user to restrict access based on existing policies, without any disruptive changes or risk of a data leak.
Identify your sensitive data by scanning, tagging, and classifying.Learn more
Write data policies in plain language, enabling data policy democratization.Learn more
Fine-grained data security with ABAC, enforced at scale.Learn more
Advanced Privacy Enhancing Techniques (PETs) for data masking and obfuscation.Learn more
Prove compliance with tracking, auditing, and reporting.Learn more
What is the purpose of data orchestration tools?
Data orchestration is the process of unifying data from disparate sources, and combining and preparing it for use by data analysis tools. Data orchestration tools facilitate this process, allowing teams to automate and streamline the consistency and serviceability of all your data.
How does data security policy orchestration work?
Data security policy orchestration is the aggregation and implementation of data security policies across an entire data stack. This ensures that policies remain consistent, applicable, and holistically enforced throughout data storage, compute, analysis, and other platforms and tools. By doing this, teams can be sure that the policies they create to secure data are being applied at each and every necessary point of storage and access.
What is the importance of data policy management?
Data policy management is important because it provides teams with a total understanding of the policies they create, apply, maintain, change, and otherwise adjust to control and protect the data within their organization’s data ecosystem. By effectively managing and overseeing data policies at this high level, an organization can maintain confidence that their data is being controlled only by the most up-to-date and compliant policies.
The good news is no. The better news is you are already 90% of the way there ...Read more
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