Data Security Posture Management Solutions

What is Data Security Posture Management?

Data Security Posture Management (DSPM) is a process and framework that helps organizations identify, assess, and manage data security risks across multiple environments, including cloud, on-premises, and hybrid infrastructures.

DSPM protects data across environments, ensuring compliance with data protection regulations. As unified frameworks gain traction, DSPM automates workflows to enhance visibility, protection, and compliance. Unlike other solutions, DSPM simplifies security by providing a clear view of data security and overall risk.

Understanding Data Security Risk 2025 Survey Report thumbnail

80%

of respondents do not feel highly confident in their ability to identify high-risk data sources

– Cloud Security Alliance: Understanding Data Security Risk 2025

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Strengthen your security posture

CipherTrust Data Security Posture Management

CipherTrust Data Security Posture Management precisely identifies the locations of your sensitive data, whether it's in the cloud, on-premises, or within SaaS applications.

Leveraging years of industry expertise, CipherTrust DSPM effectively detects, classifies, protects, and monitors interactions with your most valuable asset: your data.

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Data Discovery & Risk Control

Reign in data exposure due to rapidly expanding and fragmented data.
Inventory your data estate through data discovery and classification of structured and unstructured data.
Understand interactions with sensitive data and apply proper security controls.
Address unknown vulnerabilities like ‘Shadow data’ and unmanaged data flows.

Security & Threat Protection

Governance & Compliance Automation

DSPM FEATURES

Gain the visibility, analytics and security needed to face today’s modern risks

Understand your data estate

Know where your data, especially sensitive data, lives and how users and entities interact with it:

Identify structured and unstructured data across cloud SaaS, and On-premises with database activity monitoring and file activity monitoring.
Classify data based on sensitivity and business value, while assessing risks.
Pinpoint which accounts, applications, and APIs access sensitive data.
Map data flows across repositories to ensure protection and informed decision-making.

Fortify your data security posture

Protect your data from day one and identify where vulnerabilities and exposures exist:

Implement strong encryption, masking, and tokenization to protect data at rest and in motion.
Safeguard associated metadata, such as keys and secrets, to align with industry best practices.
Track data movement through cloud services and monitor access patterns.
Establish a post-quantum ready foundation to protect data against AI and quantum computer powered threats.

Continuously improve data security operations

Prioritize areas of risk and execute targeted action plans to improve data security:

Identify exposures and vulnerabilities to mitigate them before cybercriminals take advantage.
Ensure compliance with international regulations, privacy laws, and compliance frameworks.
Promote policy-driven data governance.
Prioritize security measures based on data risk assessments.

Future proof for resilience and innovation

With DSPM, you can strengthen data protection and enhance compliance as cloud data expands with AI and LLM workloads. By monitoring AI activity, detecting suspicious access, and reducing vulnerabilities, you’ll achieve greater operational efficiency, lower costs, and build resilience to support future innovation.

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Going Beyond DSPM

Organizations must evolve their data protection strategies to incorporate modern DSPM use cases integrating data protection and threat analysis capabilities.

Protect your data and its’ metadata

Implement encryption and safeguard the associated keys and secrets that unlock it to stop malicious access or use.

Reduce data sprawl

Minimize replication and storage outside your environment by preventing unauthorized data sharing through tokenization and data masking.

Prepare for the post-quantum world

Utilize post-quantum infrastructure to combat emerging AI and quantum threats to data protection.

Understand incident relationships

Utilize AI analytics to merge user behavior with application and data context for a better understanding of threats and to combat “low and slow" attacks.

DSPM and DSP working together

By combining DSPM and a Data Security Platform (DSP), organizations enhance how they encrypt meta data, halt data sprawl, identify attack paths to data, and ensure post-quantum readiness.

Thales is ranked as an overall leader in the 2025 Kuppingercole Leadership Compass, Data Security Platforms. Now, with added DSPM capabilities, Thales offers you even more control over data security, as well as the ability to tailor it according to your cloud needs.