Gain full visibility into your unstructured data across on-premise and cloud environments with Fasoo Data Radar and Fasoo DSPM.
Most organizations invest heavily in network and endpoint security, yet sensitive data continues to be exposed.
The root problem is simple: lack of visibility.
Critical data is often:
Without clear visibility into where sensitive data resides, organizations cannot effectively protect it. This leads to increased risks of data breaches, compliance violations, and uncontrolled data access and sharing.
You cannot secure what you cannot see.
Fasoo delivers a comprehensive DSPM solution by combining powerful data discovery with continuous risk analysis and protection. At the core of this approach are Fasoo Data Radar and Fasoo DSPM.
Together, they provide a seamless, end-to-end data security workflow:
This integrated approach ensures that data security is not reactive, but proactive and continuous.
Fasoo’s DSPM approach is built on two tightly integrated solutions, each designed to address a critical stage of data security.
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Identify potential risks and vulnerabilities, implement proper controls, and maintain data visibility throughout its entire lifecycle.
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Discover, classify, and monitor sensitive data across all storage locations. Gain full visibility over unstructured data and reduce security risks.
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Learn about a proactive approach to today's data security challenges by gaining complete visibility and control over your data.
A demonstration is worth a thousand words.
Schedule a 30-minute demo with one of our data security experts!
DSPM, Data Security Posture Management, is an approach that helps organizations understand their overall data security posture by analyzing where sensitive data resides, how it is accessed, and where risks exist. It works alongside data discovery and classification to provide continuous visibility and actionable insights for protecting sensitive information.
Data discovery is the process of scanning and identifying where data exists across cloud, on-premise, and endpoint environments. It is critical because organizations cannot secure sensitive data if they do not know where it is located or how it is being used.
Data classification involves identifying and labeling sensitive data such as personal information, financial records, and intellectual property based on content and context. Modern solutions use AI-powered classification to improve accuracy and ensure that sensitive data is properly categorized for protection and compliance.
Data discovery identifies where sensitive data exists, while DSPM analyzes that data to understand risk, exposure, and access patterns. Together, they provide complete data visibility and enable organizations to prioritize and secure high-risk data effectively.
Data visibility refers to the ability to see where data is stored, who has access to it, and how it is being used across the organization. Without strong data visibility, security teams cannot detect risks, enforce policies, or prevent unauthorized access.
Organizations should prioritize sensitive data such as personally identifiable information (PII), financial data, intellectual property, and confidential business information. Data discovery and classification help identify these data types across both structured and unstructured environments.
Fasoo Data Radar scans enterprise environments to locate sensitive data and applies AI-based classification to identify its type and context. This provides a strong foundation for improving data visibility and enabling downstream security processes such as DSPM.
Fasoo DSPM analyzes classified data to identify risks such as overexposure, excessive permissions, or policy violations. It helps organizations understand their data security posture and prioritize actions to reduce risk and strengthen protection.
Yes, data discovery and classification help organizations identify regulated data, while DSPM ensures that it is properly monitored and protected. Together, they support compliance with global regulations by improving visibility, control, and auditability.
AI systems rely on large volumes of data, making it critical to understand what data is being used and whether it contains sensitive information. Data discovery and classification ensure that only appropriate, secure, and compliant data is used for AI and analytics.
Organizations should look for solutions that provide comprehensive data discovery, accurate classification, and continuous visibility into data risks. The best way to evaluate is through a demo or trial to see how the solution identifies and protects sensitive data in real environments.
Request a demo to talk to a data protection specialist and see it in action.
