Vice President, Compliance at a manufacturing company with 1-10 employees
Real User
Top 10
Jan 7, 2026
My main use case for Cyera includes data visibility, data tagging, data classification, AI assessments, and policy governance, risk, and compliance policy. For data classification, I import structured and unstructured data into the platform, let it run through its discovery, and then identify classification with auto-labeling, ML classifiers, as well as manual tagging that I do to identify what data is in there. The platform also runs through compliance checks automatically. I use Cyera as an assessment tool but also resell the product.
Data Security Intern at a manufacturing company with 10,001+ employees
Real User
Top 5
Apr 8, 2025
I worked as a data security intern, and I used Cyera for monitoring our data security policies. Cyera has an inbuilt set of policies implemented towards data security, especially cohering with Data Security Posture Management (DSPM). The tool helps find sensitive data across different cloud environments and services.
Senior Cyber Security Consultant at a consultancy with 10,001+ employees
Real User
Jan 9, 2024
We are primarily using it for data security posture management (DSPM) and cloud security posture management (CSPM). It is a data discovery and classification tool. We can classify the data based on its sensitivity on a day-to-day basis across the organization's data repository, which is huge with more than 10 petabytes. It is an ongoing task. It is something that needs to be done in the background every day. We have to analyze the data to scan the data. We have to classify the data and see who has access to it and what is the sensitivity level.
Security Engineer at a recreational facilities/services company with 1,001-5,000 employees
Real User
Jun 7, 2023
Initially, it was to get an idea of where sensitive data was, but now, the way I've been using it is to supplement our CNET where we have a view list. So, when I get the findings there, I'll go look in Cyera and make sure that there's no sensitive data, and if there is, that'll help me build a better story when I go to get it remediated by the stakeholders. We're using its latest version. It's deployed on Azure and AWS.
Cyera transforms data security by offering a comprehensive approach to defend sensitive information across cloud-native environments.
Cyera provides a robust data security solution designed to address the increasing challenges associated with managing and protecting sensitive information in cloud-native frameworks. It empowers businesses to gain visibility and control over their data across various cloud services, enhancing compliance and reducing risk. With its advanced analytics and...
My main use case for Cyera includes data visibility, data tagging, data classification, AI assessments, and policy governance, risk, and compliance policy. For data classification, I import structured and unstructured data into the platform, let it run through its discovery, and then identify classification with auto-labeling, ML classifiers, as well as manual tagging that I do to identify what data is in there. The platform also runs through compliance checks automatically. I use Cyera as an assessment tool but also resell the product.
I worked as a data security intern, and I used Cyera for monitoring our data security policies. Cyera has an inbuilt set of policies implemented towards data security, especially cohering with Data Security Posture Management (DSPM). The tool helps find sensitive data across different cloud environments and services.
We are primarily using it for data security posture management (DSPM) and cloud security posture management (CSPM). It is a data discovery and classification tool. We can classify the data based on its sensitivity on a day-to-day basis across the organization's data repository, which is huge with more than 10 petabytes. It is an ongoing task. It is something that needs to be done in the background every day. We have to analyze the data to scan the data. We have to classify the data and see who has access to it and what is the sensitivity level.
Initially, it was to get an idea of where sensitive data was, but now, the way I've been using it is to supplement our CNET where we have a view list. So, when I get the findings there, I'll go look in Cyera and make sure that there's no sensitive data, and if there is, that'll help me build a better story when I go to get it remediated by the stakeholders. We're using its latest version. It's deployed on Azure and AWS.