Automated data policy enforcement and governance
Whether for data retention or other policies, MineOS drastically reduces the risk of regulatory non-compliance and fines, thanks to easily-automated policy rules and alerts.
The problem with data policies
Adhering to data policy requirements such as data retention and privacy-by-design standardization is difficult, due to the complexity and manual effort involved in maintaining visibility and control over a rapidly-changing data environment.
How we solve it for you
MineOS automates data policy enforcement within the platform through policy rules. These allow teams to set customized requirements for data sources, and automatically receive alerts when adherence to data retention policies and other key standards and frameworks is at risk.
Data Mapping Empowers Data Policy Enforcement
Set Policies, Get Alerts
Create policies based on frameworks, such as misplacement of data related to PHI, GDPR and PII, or policies based on number of records, and then assign any number of data sources you like to the policy.
If and when data is misplaced, such as PHI within Hubspot for example, Admins can receive an alert via the Data Types page and also on their MineOS dashboard, leading them right to the culprit for instant targeted remediation.
Deep Dive into Violations
See directly into the data source from within MineOS, to get a full list of the record of data types per object. This illuminates the specific cause of your policy violation down to the granular single value which triggered it. Data sources that you’ve integrated via content discovery are all able to provide this deeper view.
#1 highest-rated
Data Privacy Management on G2
MineOS holds the highest satisfaction rating — with 98% of users likely to recommend it. Our platform sets new standards for ease of setup, ease of use, quality of support, and best estimated ROI.
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