10 DSPM Solutions for Data Security in 2025

Uncover 10 DSPM solutions that enhance data security in 2025. From discovery and classification to automated compliance checks, see how DSPM optimizes data protection strategies for modern enterprise.

Data Security Posture Management (DSPM) is a continuous process of identifying, categorizing, and protecting the data. With the increase in the amount of information and its diversification, there is an increase in risks that come from outside and inside the organization. DSPM Solutions solves these problems through end-to-end visibility, from data location to real-time policy enforcement.

Given that about 90% of data in the world was created in the past two years alone, having the right DSPM solution is the key to effective protection of data and disaster. However, the majority of organizations are using separate solutions that do not offer a holistic view of the processes. This can result in gaps, regulatory issues, and a longer time to identify a breach.

In the following sections, we will provide a detailed discussion of DSPM and the reasons why it is important for data protection in 2025 and the future. Following this, we will introduce you to 10 DSPM solutions that are geared towards fulfilling different purposes in business, from quick identification of data to the automated assessment of compliance. The details of each vendor profile will include features, platforms, testimonials, and ratings from peer review sites.

You’ll also get seven criteria to help you choose the right DSPM solution, as well as the answers to the most frequently asked questions about the deployment, compliance, and integration with other security technologies.

What is DSPM (Data Security Posture Management)?

Data Security Posture Management, also known as DSPM, is a strategy and technology stack that enables real-time visibility and control of data in use across multi-cloud environments. Where traditional data security solutions may concentrate on such aspects as encryption or basic access control, DSPM solution expands the scope of its activities to include discovery, classification, threat assessment, and policy compliance.

The objective is to achieve control of all information, both structured and unstructured, to prevent unauthorized access, abnormal behavior, and possible non-conformity. This is because many organizations are dealing with data sprawl as they use more than one cloud platform or create new microservices that produce logs and records.

A robust DSPM solution prevents this by actively searching through and indexing the assets, marking the content that poses risks (for example, PII or financial data), and then automatically performing prescribed actions in case of risks identified. This wide applicability across clouds, virtual machines, containers, and on-premises storage makes DSPM an end-to-end solution for data protection.

Need for DSPM Solutions

Today’s organizations collect and store data at a faster rate than ever before. One survey revealed that 30 percent of the companies are now employing cloud-native ways of development including GitOps, containers, and CI/CD. This environment is risky for threats such as advanced persistent threats and ransomware, as well as for accidental leakage of information by insiders.

Having robust DSPM solutions in place addresses several critical areas:

1. Visibility & Discovery: Most companies have no idea where their data is located at. It could be in a shadow IT system, dev environment, or even a rogue spreadsheet. DSPM solutions offer constant discovery of new or overlooked data storage with no monitoring in place. This deep visibility is the first step toward security that can be described as meaningful.
2. Real-Time Risk Identification: A DSPM solution can determine as soon as new data is uploaded or an employee alters permissions that the action is inadmissible or might lead to compliance issues. This proactive detection reduces the time that an issue spends in the detection phase and enables teams to respond before a small problem escalates to become a major incident.
3. Automated Remediation: Some of the best DSPM solutions come with playbooks or orchestration features that can apply encryption, quarantine data sets that show signs of being malicious, or enforce multi-factor authentication on high-risk assets. This minimizes manual efforts and provides an assurance that policies are well enforced at all times.
4. Regulatory Compliance: Legal frameworks like the GDPR, CCPA, and HIPAA dictate certain robust measures when it comes to data privacy. Not only does DSPM assist in identifying the required information, it also assists in the auditing process by producing a log of who has accessed the data, when this has occurred and the level of access granted.
5. Reduced Attack Surface: DSPM solutions assist companies in reducing the exposure of sensitive data by identifying outdated or redundant datasets. Reducing or completely eradicating the number of files or sharing them with specific users greatly reduces the possibility of the files being used by an attacker.
6. Holistic Security Integration: A good DSPM solution helps in enriching other security products with more detailed information on data streams, their ownership, and classification. This synergy enables advanced threat detection systems to factor data sensitivity into their analysis and, therefore, prioritize the alerts appropriately.
7. Faster Incident Response: All data assets must be identified, and all policies have to be well-defined so that when a breach or misuse occurs, security teams can respond appropriately. Automated workflows can quarantine affected data, revoke access credentials, or generate SIEM correlations, which can cut containment times to the bare minimum.

DSPM Solutions Landscape in 2025

DSPMs have become as essential to enterprise security as endpoint detection and SIEM solutions. With organizations managing several cloud service providers, microservices architectures, and changing privacy laws, specialized DSPM solution vendors have appeared with mature solutions.

In the following, we present ten of the best DSPM solutions for businesses that aim to discover, protect, and govern data across all locations.

SentinelOne

SentinelOne Singularity platform continues to enhance its AI-powered security solution to include DSPM, integrating endpoint visibility with comprehensive data identification and categorization. Exploiting the same machine learning techniques that identify the anomalous behavior of devices, the solution brings another layer of contextual information to the data stream. With hybrid environments growing, SentinelOne guarantees that every data asset is identified and secured throughout the organization. Book a free live demo.

Platform at a Glance

SentinelOne’s DSPM capabilities are built directly into its existing console, which provides security teams with a single-pane-of-glass view of threats, vulnerabilities, and data exposures. Risk levels are always up to date since machine learning improves the data classification process. Automated policies can encrypt or quarantine data after specific events occur to avoid leakage or unauthorized duplication. Its real-time analytics give the user a clear picture of any abnormal data access or changes in privilege levels.

Features:

1. AI-Driven Classification: Automatically classifies data as PII, financial data, etc, without the need for the user to label the data.
2. Unified Threat Detection: Identify data misuse with other known malicious activities from endpoints or networks.
3. Auto-Remediation: Imposes encryption or enhances permission when there are anomalies.
4. Compliance Reporting: Creates audit trails based on the GDPR, HIPAA, or other requirements.

Core problems that SentinelOne Eliminates

1. Fragmented Toolsets: Reduces the requirement of managing the endpoint and data security solutions as two different entities.
2. Misconfigurations: The auto scan finds the misaligned permission or policy.
3. Slow Response: The linking of data events to endpoint threat intelligence in real-time minimizes containment time.
4. Visibility Gaps: Classification made with the help of AI unveils the existence of data storage compartments in hybrid infrastructures.

Testimonials

“SentinelOne Singularity Complete effectively addresses our diverse security needs for 26,000 endpoints, seamlessly protecting office and remote workers across various operating systems. Its lightweight agents operate smoothly, with competent support, though alert identification could be improved.”- Asim Naeem (Principal IT Security & Compliance at IBEX Holdings Ltd)

Discover what other users are saying about SentinelOne Singularity  on Gartner Peer Insights and PeerSpot.

BigID

BigID is ideal for privacy and data management. It is a DSPM solution that applies analytics to identify and categorize sensitive information in areas of structured and unstructured storage, including cloud environments and on-premises databases. The platform does  correlations that link personal data to data subjects and helps in meeting compliance and privacy rules.

It is ideal for companies interested in simplifying regulatory reporting and decreasing the burden of compliance.

Features:

1. Data Graph: Identifies how data sets and applications are connected as well as to whom they are connected.
2. Privacy Automation: Enforces privacy compliance through the use of automation of the standard operating procedures.
3. Risk Scoring: Classifies threats depending on the content and the frequency of use.
4. Accelerated Discovery: Rapidly identifies risks in large data repositories without having to go through all the data.

Explore user opinions and reviews of BigID on PeerSpot and G2.

Varonis

Varonis does metadata processing, identifies over-privileged users, inactive data, and other anomalies. It provides real time alerting for file activities to identify possible ransomware or insider threat to the business. Varonis provides visibility into all file shares, NAS devices, Office 365, and more, offering a level of control on who is accessing what data.

Features:

1. Metadata Analysis Engine: Find out who has created the data, who has been accessing it, and who has permission to do so.
2. Automation Engine: Advocates and implements the use of the least privilege models.
3. Threat Detection: Causes notifications for mass deletion or file encryption.
4. Behavior Analytics: Identifies user behavior to single out abnormal behaviors.

Check real user feedback on TrustRadius and PeerSpot to assess Varonis’s value for your data security needs.

Symmetry Systems

Symmetry Systems combines data discovery with the zero-trust concept to scan repositories for the presence of sensitive documents and implement identity verification. As a DSPM solution, it is capable of visualizing data flows and identifying misconfigurations of cloud service providers.

A number of enhanced encryption and tokenization methods are also available to secure both structured and unstructured data. It prevents a data breach before the damage is done.

Features:

1. Zero-Trust Data Access: Ensures that requests are validated at each point to reduce internal threats.
2. Cryptographic Enforcement: Encrypts data that is identified to be sensitive without the need for the user to manually encrypt it.
3. Cloud-Native Integration: Provides hooks that are quite deep into AWS, Azure, and Google Cloud for continuous monitoring.
4. Tokenization: Allows for sharing of data with other departments without passing through actual values.

CipherCloud

CipherCloud is now a part of Lookout. It offers data security posture management for multi-cloud environments. It focuses on encryption, tokenization and real-time policy management on SaaS solutions such as Salesforce, Microsoft 365, and custom applications. This approach ensures that the data is protected at all times, especially when it is outside the organization’s network.

By using analytics, CipherCloud makes it possible for organizations to move their data to the cloud while meeting compliance requirements.

Features:

1. Cloud Access Security Broker (CASB): Supervises and regulates the movement of information to different SaaS applications.
2. Granular Encryption Policies: Divides encryption based on data type and risk.
3. User Behavior Analytics: Prevents suspicious activity or downloads from the cloud-based storage systems.
4. Automated Compliance: Offers data masking and inline DLP (Data Loss Prevention).

Check out user feedback and insights about CipherCloud (now Lookout) on PeerSpot.

Digital Guardian

Digital Guardian extends endpoint security and provides a data security posture management solution. It is ideal for complex IT environments, inspects content, and detects context to prevent exfiltration. The endpoint agents of the platform connect to a central management console that provides information on file transfers, user activity, and possible insider threats in real-time.

It is for companies that need to manage data protection on endpoints and in the cloud at the same time.

Features

1. Agent-Based Enforcement: It manages and enforces the usage of data at the endpoint.
2. Content Awareness: Organizes documents according to the level of data protection.
3. Real-Time Alerts: It can rapidly identify the potential threats that are associated with processes or data transfer.
4. Unified DLP & DSPM: Enables management of both endpoint and data in a single view.

Uncover detailed user reviews of Digital Guardian on PeerSpot.

Netwrix

Netwrix is about file server and SharePoint monitoring, and it is suited for mid-size companies and large organizations. With auditing and intelligence, Netwrix identifies who has accessed the data, what changes have been made, and when.

Its DSPM features include the identification of unprotected datasets, recommendation of permission changes, and adherence to policy. Netwrix also sends contextual alerts to third-party SIEMs with which it is compatible.

Features:

1. Audit Trails: Records every change that is made to the data and every action done by the user.
2. Risk Assessment: Flags data at risk and shows open shares or any other permissions.
3. Change Tracking: Real-time monitoring of changes in alerts on files and folders.
4. Policy Compliance: Internal rules are checked for every set of data automatically.

Evaluate Netwrix’s strengths according to users experience on Gartner Peer Insights and PeerSpot.

Securiti.ai

Securiti.ai connects compliance automation with data governance. The platform identifies Personally Identifiable Information, Sensitive Information, or Regulated Information within different contexts and enforces privacy-by-design measures. Using AI models, Securiti.ai can identify data stores and assign each asset a sensitivity level.

Features:

1. PrivacyOps Automation: Bases data controls on GDPR, CCPA, and other privacy laws.
2. AI-Powered Discovery: Can find out huge amounts of data that is unorganized.
3. Automated Risk Scoring: Marks data sets with high exposure or peculiar access patterns.
4. Data Access Requests: Optimizes the DSAR process and makes it easier to handle and complete.

Dig

Dig security, which is now acquired by Palo Alto Networks is a cloud-oriented DSPM solution that is designed to work with the latest and most fleeting hosting environments, including containers and serverless functions. Dig’s approach is to put security checks directly into the development pipelines to identify and protect the ephemeral data at its creation.

Features:

1. Ephemeral Scanning: Captures data as soon as it comes in short-lived container tasks.
2. DevSecOps Integration: Integrates data security checks into the CI/CD pipeline.
3. Automated Tagging: Identifies new data sets as high risk or low risk.
4. Policy Enforcement: Secures data or raises the alarm when containers are executed in a high-privileged mode.

Browse through authentic user reviews of Dig on Peerspot.

Cyera

Cyera uses AI to identify which data is where in hybrid cloud environments and to know the classification of the data continuously. By associating user activity with risk profiles, it is able to differentiate between the normal operational traffic and the actual threats. Cyera also pays attention to integrating data security posture management solutions into the overall zero-trust strategies, and nothing is left behind, including data and user activities. Cyera’s granular policies provide enterprises that are shifting to zero trust a way to extend their security strategy into the data layer.

Features:

1. Zero-Trust Integration: Ensures that data security is in harmony with identity and network segmentation.
2. Data Graph Insights: Depicts how data repositories, services, and access credentials are related to each other.
3. ML-Driven Risk Scores: Threat levels are adjusted in real-time according to usage patterns.
4. Custom Policy Engine: Adapts to the organizational structures or specific data types in the organization.

Understand how Cyera performs from user perspectives on PeerSpot.

Key Factors to Consider When Selecting a DSPM Solution

Choosing the right DSPM is crucial in order to identify and manage data security risks properly. To establish whether the chosen solution meets specific security needs, several crucial factors must be taken into account. The following are the seven factors that one should consider when choosing a DSPM solution as outlined below.

These factors will assist organizations in making the right decisions in protecting their data.

1. Cloud Support & Hybrid Compatibility: Assess the extent to which each solution addresses AWS, Azure, GCP, and on-premises servers. An ideal DSPM solution should run smoothly across various platforms with no issues. Search for the possibility of using the built-in APIs or connectors that help to avoid complications with integration.
2. Auto Classify and Tagging: Using sophisticated ML-based classification, labeling of data is done accurately and efficiently to avoid the risk of wrong labeling of sensitive data. Find out if the DSPM solution can accommodate your industry-specific data categories that are not standard. It is crucial to address scalability issues because, for instance, large organizations may process petabytes of data every day.
3. Policy Compliance & Correction: An ideal DSPM solution should be capable of enforcing compliance, for instance, through encryption or revocation of permissions. It’s also important to find out if the vendor has pre-set policies for PCI, HIPAA, or other compliance requirements. This accelerates the process of putting things into place and guarantees compliance with the recommended standards.
4. Compatibility with Other Security Software and Hardware: The integration with SIEM, SOAR, and IAM products enhances the effectiveness of data security posture management solutions. Determine if the solution can send notifications to your central console, initiate incident response playbooks, or share information with threat detection systems.
5. Scalability & Performance: The number of data repositories can grow significantly and rapidly in organizations that are using microservices or containers. A solution that fails under load can be a blind spot. Trusted DSPM solutions do not change their performance even when new objects are being scanned daily in thousands.
6. Compliance & Auditing: Often, companies need to generate extensive logs of activities for audit purposes or internal control. Make sure that the solution captures every event that is related to data, including classification changes and user access. The use of automated reporting can greatly minimize the effects of compliance audits.
7. Vendor Support & Community: The last factor that is rarely considered is the vendor’s ability to respond. This is because a DSPM solution that offers patches on time, supportive staff, and active user communities can greatly enhance the daily process. You can also read user reviews on Gartner Peer Insights to get a better understanding of the solution.

Conclusion

In the end, it is clear that Data Security Posture Management has become an indispensable component in today’s cybersecurity architectures. Today’s exponential data growth and multi-cloud environment make it clear that legacy point security solutions are insufficient. DSPM solutions integrate discovery, classification, policy enforcement, and compliance into a single solution that scales with risk changes. Through automation of many of the tasks that would have otherwise slowed down data protection efforts, DSPM allows security teams to focus on threat hunting and planning.

A DSPM solution that fits the structure of your organization, your risk tolerance, and your compliance requirements could enhance your data protection in a big way. As you consider the ten considerable DSPM solutions listed here, keep in mind that integration, AI, and support are critical to the success of your strategy.

Want to improve your data security measures? Check out platforms such as SentinelOne’s Singularity, schedule a demo, or request a proof-of-concept to learn how innovative data security posture management tools can help detect risks and enforce compliance automatically. Data protection is no longer a mere option but a necessity that helps companies prevent risks that can damage the company’s image and erode customer confidence.

FAQs

What are DSPM Solutions?

DSPM solutions include identification of data, categorization of data, rules and controls, and real-time monitoring for the protection of confidential data. Unlike encryption or one-time scanning, DSPM solutions provide continuous monitoring across the cloud and on-premises. It continuously scans security status and detects insecure configurations, misplaced data, or unauthorized access attempts.

These solutions cut down on the amount of manual work that goes into identifying and fixing problems, and they support the ongoing protection of data.

How does DSPM differ from Traditional Data Security Tools?

Traditional solutions like DLP or encryption suites are typically designed for a single purpose, whether that is data leakage prevention or data confidentiality in transit. A DSPM solution integrates these elements into one single framework that addresses the whole data management chain. This includes the identification of new data sources, real-time posturing, and integration with other cybersecurity solutions. Thus, DSPM, which evolves with threats and architectures, offers a persistent, comprehensive approach that is beyond the capabilities of static tools.

Can DSPM Solutions help prevent Data Breaches?

Yes, the best DSPM solutions minimize the risk of breaches through the early detection of improper user behavior, anomalous network traffic, and system misconfigurations. Automated remediation can be used to remove permissions or encrypt the affected files as soon as the threat is identified, preventing the incident from spreading.

They also work with SIEM and SOAR tools to manage incident response, which means that any possible threat triggers an adequate and timely defense mechanism.

Can DSPM Solutions monitor and secure unstructured data?

Absolutely. Most of the DSPM tools can scan for unstructured data such as documents, PDFs, images, or logs for credit card numbers or personal IDs. They have contextual and content-based classification labels, which means that security teams can set specific rules and compliance standards. When it comes to less structured data, which is increasing in volume, DSPM becomes crucial for managing these less certain assets.

What is the primary function of DSPM solutions?

The primary reason is to have a current picture of an organization’s data environment, including where data is located, who has access to it, and how it is utilized. DSPM solutions capture these insights to identify anomalies and implement policies such as encryption or access control.

This is useful in lowering the risk that organizations face, in meeting legal requirements and in being able to quickly adapt to new threats. In other words, DSPM solutions make data security work by automating many tasks that were once done manually and in isolation.

How do DSPM solutions help with Regulatory Compliance?

A DSPM solution learns data and maps it to regulations like GDPR or HIPAA, ensuring that no data set is left behind. All these platforms have mechanisms to record every access, permission alteration, or encryption operation, which makes the audit trails suitable for most compliance standards.

They can also limit data transfer according to policy regulations to avoid the inadvertent transfer of data across borders or user actions that can compromise policies.

What types of data can DSPM tools protect?

DSPM platforms can also manage both the traditional database systems (SQL and NoSQL) and the big data files (file shares, cloud storage, containers). This covers all forms of data, such as customers’ data, creations and ideas, operational data and logs, or even data that is created and used briefly in serverless computing.

Since contemporary IT systems store different formats and locations of files, data security posture management solutions must be able to scan for compliance and security issues on various types of data in real-time.

What industries benefit the most from DSPM solutions?

Some of the sectors that have high levels of regulation, such as finance, healthcare, government, and e-commerce, will benefit from DSPM solutions in the short term. Nevertheless, almost every business that involves the processing of the clients’ or employees’ personal information can be useful.

Companies that have a large cloud footprint or those that are looking to grow into new geographies also use DSPM to help manage data protection and compliance across different areas and cloud vendors. SMBs and startups benefit from automated data security processes they cannot afford to perform manually.

How do DSPM tools integrate with other Cybersecurity Platforms?

Many DSPM solutions have APIs or out-of-the-box integrations with SIEM, SOAR, and identity management products. This integration enables correlated alerts, centralized incident management, and user management. This means that by extending classification and risk data to other security paradigms, DSPM provides a coherent front against threats.

This synergy helps organizations to enhance the effectiveness of threat identification, enhance the speed of triage and enhance the overall security standing.