Best Sensitive Data Discovery Tools for Splunk AppDynamics
View:
Compare the Top Sensitive Data Discovery Tools that integrate with Splunk AppDynamics as of October 2025
Sort By:
This a list of Sensitive Data Discovery tools that integrate with Splunk AppDynamics. Use the filters on the left to add additional filters for products that have integrations with Splunk AppDynamics. View the products that work with Splunk AppDynamics in the table below.
What are Sensitive Data Discovery Tools for Splunk AppDynamics?
Sensitive data discovery tools are software solutions designed to help organizations identify, classify, and protect sensitive information across their data environments. These tools scan databases, file systems, cloud storage, and applications to locate sensitive data such as personally identifiable information (PII), financial records, healthcare data, or intellectual property. By using advanced algorithms and pattern recognition, sensitive data discovery tools can automatically flag data that is at risk of exposure or non-compliance with regulations such as GDPR, HIPAA, or CCPA. They often provide visualization and reporting features, allowing organizations to see where sensitive data resides and assess the level of risk. These tools are crucial for ensuring data security, privacy compliance, and mitigating the risk of data breaches. Compare and read user reviews of the best Sensitive Data Discovery tools for Splunk AppDynamics currently available using the table below. This list is updated regularly.
-
1
TCS MasterCraft DataPlus
Tata Consultancy Services
The users of data management software are primarily from enterprise business teams. This requires the data management software to be highly user-friendly, automated and intelligent. Additionally, data management activities must adhere to various industry-specific and data protection related regulatory requirements. Further, data must be adequate, accurate, consistent, of high quality and securely accessible so that business teams can make informed and data-driven strategic business decisons. Enables an integrated approach for data privacy, data quality management, test data management, data analytics and data modeling. Efficiently addresses growing volumes of data efficiently, through service engine-based architecture. Handles niche data processing requirements, beyond out of box functionality, through a user-defined function framework and python adapter. Provides a lean layer of governance surrounding data privacy and data quality management.
- Previous
- You're on page 1
- Next