Data Governance & Accurate Detection
Accurate sensitive data detection plays a critical role in improving data governance. Data governance refers to the overall management of data assets within an organization, including their security, privacy, availability, and usability.
Sensitive data, such as personally identifiable information (PII), financial information, and health records, require special protection due to their confidential nature. Accurate detection of sensitive data helps organizations identify where such data is located and ensure that it is appropriately protected.
By improving sensitive data detection, organizations can strengthen their data governance in several ways:
- Compliance: Many industries are subject to strict regulations governing the handling and protection of sensitive data. Accurate detection can help organizations comply with these regulations and avoid costly fines.
- Risk management: Sensitive data can be a target for cybercriminals, and its exposure can lead to reputational damage, financial losses, and legal liability. Accurate detection helps organizations identify potential risks and take appropriate measures to mitigate them.
- Data quality: Accurate detection can help improve the overall quality of an organization’s data by ensuring that sensitive data is properly labeled and classified. This, in turn, can help ensure that the data is used appropriately and that decisions based on it are sound.
- Resource optimization: Accurate detection can help organizations optimize their resources by focusing their efforts on protecting the most sensitive data, rather than trying to protect all data equally. This can help reduce costs and improve overall efficiency.
Overall, accurate sensitive data detection is a crucial component of effective data governance. It can help organizations protect sensitive data, comply with regulations, manage risk, improve data quality, and optimize resources.
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GTB Data Security Benefits for SRM Admins
Visibility: Accurately, discover sensitive data; detect and address broken business process, or insider threats including sensitive data breach attempts.
Protection: Automate data protection, breach prevention and incident response both on and off the network; for example, find and quarantine sensitive data within files exposed on user workstations, FileShares and cloud storage.
Notification: Alert and educate users on violations to raise awareness and educate the end user about cybersecurity and corporate policies.
Education: Start target cyber-security training; e.g., identify end-users violating policies and train them.
- Employees and organizations have knowledge and control of the information leaving the organization, where it is being sent, and where it is being preserved.
- Ability to allow user classification to give them influence in how the data they produce is controlled, which increases protection and end-user adoption.
- Control your data across your entire domain in one Central Management Dashboard with Universal policies.
- Many levels of control together with the ability to warn end-users of possible non-compliant – risky activities, protecting from malicious insiders and human error.
- Full data discovery collection detects sensitive data anywhere it is stored, and provides strong classification, watermarking, and other controls.
- Delivers full technical controls on who can copy what data, to what devices, what can be printed, and/or watermarked.
- Integrate with GRC workflows.
- Reduce the risk of fines and non-compliance.
- Protect intellectual property and corporate assets.
- Ensure compliance within industry, regulatory, and corporate policy.
- Ability to enforce boundaries and control what types of sensitive information can flow where.
- Control data flow to third parties and between business units.
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