HomeMalware & ThreatsTop 15 Data Security Posture Management (DSPM) Platforms for 2023

Top 15 Data Security Posture Management (DSPM) Platforms for 2023

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Data Security Posture Management (DSPM) has become an essential aspect of cybersecurity, as organizations strive to protect their sensitive data and ensure compliance with regulations. With the emergence of this technology, several DSPM platforms have entered the market, offering robust solutions to streamline data protection efforts. In this article, we will explore the top DSPM tools that organizations can consider to enhance their data security posture.

Securiti DSPM, ranked at the top on Gartner’s list, is a highly acclaimed platform that provides comprehensive data protection. With a rating of 4.7, Securiti offers advanced features that cover various data environments and formats. Its AI/ML-powered insights enable organizations to streamline data governance strategies, access policies, and privacy operations. What sets Securiti apart is its coverage of SaaS environments, as well as public, private, hybrid, and multi-cloud systems.

Symmetry DataGuard comes in second place, with a rating of 4.6. This platform offers real-time data protection and advanced analytics to ensure the security, availability, and integrity of data. Users can leverage the granular information provided by Symmetry DataGuard to implement effective data controls and permissions, enhancing their overall data security posture.

Sentra’s DSPM platform is recognized for its speed and efficiency. It offers agentless discovery, ensuring that data stays within the organization’s secure environment without disrupting productivity. Sentra’s easy implementation and scalability, along with its integration capabilities, make it a valuable choice for organizations looking to streamline their data protection efforts.

Dig Security Platform, recommended by 77% of users, offers a 4.2 rating on Gartner’s review platform. This platform enables security and data teams to identify, categorize, and protect data effectively. Its data detection and response capabilities ensure robust data protection, allowing teams to understand their data distribution across physical and virtual databases and protect sensitive data from potential security risks.

Flow Security is another notable DSPM platform that covers a wide range of environments, including on-prem infrastructure, multiple cloud environments, SaaS applications, and self-managed databases. Its machine learning capabilities enable data teams to discover and classify data elements across structured and unstructured formats. Additionally, Flow Security can discover security vulnerabilities and track them for remediation, further enhancing data protection efforts.

Laminar, an emerging solution provider, offers an agile DSPM solution that focuses on speed, accuracy, and efficiency. While reviewers have given it a rating of 4.1, Laminar has room for improvement in terms of scalability. However, its platform provides data teams with necessary insights into their multi-cloud and SaaS environments, allowing for robust data protection through risk discovery, access policies, governance framework optimization, and compliance management.

TrustLogix cloud data security platform is built specifically for the cloud, providing data visibility and optimized controls for security, governance, and compliance. It can be swiftly deployed and connected to various cloud-native environments, self-managed clouds, and SaaS applications. TrustLogix’s non-intrusive approach only scans for schemas and configuration metadata, ensuring enhanced protection while preserving data privacy.

Cyera Platform is a well-trusted DSPM solutions provider that offers comprehensive data insights and access controls. It covers a wide range of ecosystems, including IaaS, PaaS, self-managed databases, managed databases, and DBaaS environments.

Concentric Semantic Intelligence offers sophisticated DSPM capabilities to help businesses and security teams identify important data, find security gaps, and prevent unauthorized access. Its ML capabilities allow for autonomous data discovery and classification across various data elements.

Veza provides businesses with a powerful vulnerability management system, allowing them to discover identities and mitigate risks. With integration capabilities that span multiple cloud and SaaS systems, Veza’s DSPM solution enhances overall data security.

BigID, a well-known cloud data management solutions provider, now offers a DSPM solution. Its data discovery and classification engine categorizes data across different formats and systems, identifying and tracking data security risks.

Fasoo Data Radar offers advanced DSPM capabilities, replacing traditional data loss prevention solutions. With powerful discovery and classification capabilities, access controls and policies, and risk assessment capabilities, Fasoo’s DSPM platform ensures data protection.

Normalyze DSPM platform enables organizations to search, identify, and categorize data in Google, Azure, and AWS data clouds, across various data formats.

OneTrust, a well-known DSPM provider, offers data discovery, classification, and inventorying capabilities. It helps organizations identify security gaps and enhance access controls, enabling the implementation of a zero-trust framework.

Open Raven provides a wide range of functionalities to optimize data security posture. Its DSPM platform enables businesses to discover and classify data, assess security posture risks, and implement guardrails to meet compliance requirements.

In conclusion, choosing the right DSPM platform is crucial for organizations looking to protect their data against cyber threats and ensure compliance. The aforementioned platforms offer various features and capabilities that can enhance overall data security posture. Organizations should carefully assess their specific needs and objectives before selecting a DSPM solution that aligns with their requirements. By leveraging these tools, organizations can streamline data protection efforts and derive maximum value from their data, while ensuring compliance with regulations.

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