The way organizations manage and secure data is changing fast — and for good reason. With sensitive data spread across on-prem data stores, cloud apps and collaboration tools, traditional access control models are no longer enough. Data is spread out in more places than ever, and 35% of breaches in 2024 involved data stored in unmanaged data sources—aka “shadow data.” That’s where data security posture management (DSPM) comes in to help.
DSPM is an emerging security strategy designed to help organizations continuously discover, classify, and protect sensitive data wherever it lives. It builds on the foundation of traditional data access governance (DAG) but goes further by offering dynamic visibility into the full scope of your data security posture: who has access to what, how data is being used, and where sensitive information might be overexposed. Simply put, DSPM actively monitors for risks and helps IT team fix them on the fly, making it a step beyond traditional DAG.
Why the Shift Toward DSPM?
Several trends are accelerating the need for DSPM. First, data environments have become vastly more complex. Adoption of cloud applications and services, remote work, and the rise of generative AI tools mean that sensitive data is constantly being created, shared and stored across platforms that weren’t even in the IT landscape a few years ago. These changes make it harder for organizations to maintain a real-time understanding of their sensitive data footprint.
At the same time, threats have become more sophisticated and accessible, from AI-powered phishing to ransomware-as-a-service offerings. These advanced and relentless attacks, along with increased regulatory scrutiny, require adopting a more contextual and adaptable approach to data security.
Accordingly, interest in DSPM is growing quickly. Gartner predicts that more than 20% of organizations will deploy DSPM by 2026, driven by the need to locate unknown data repositories and reduce their risk exposure.
You May Need DSPM (Even If You Don’t Know It Yet)
Many organizations don’t start out asking for DSPM. Instead, the need becomes clear when they realize they don’t know where all their sensitive data resides or they discover that too many employees have unnecessary access to critical information.
Other scenarios that often spark DSPM conversations include:
- Preparing for compliance audits or security assessments
- Running into limitations with current Microsoft licensing and tools
- Launching new AI initiatives that require careful control of the data being surfaced
- Moving toward a cloud-native strategy and losing visibility along the way
If any of this sounds familiar, it may be time to explore what DSPM can offer.
What a DSPM Strategy Looks Like
Getting started with DSPM doesn’t have to be overwhelming. In fact, the most effective strategies begin with a simple question: “Do we know where our sensitive data is and who can access it?” The answer lays the groundwork for everything else.
A trusted technology partner can help your organization take the right first steps by discovering and mapping both structured and unstructured data across your on-premises and cloud environments. From there, they can classify sensitive information and analyze your access controls to identify over-permissioned users and over-exposed content. This information enables your team to prioritize remediation efforts based on data sensitivity and level of exposure.
The goal isn’t to solve everything all at once but to build a practical, phased roadmap that starts with high-impact wins and gradually increases your organization’s data security maturity. With the right assessments and guidance, many organizations see meaningful improvements in as little as 90 days.
Choosing the Right DSPM Tools
With a crowded landscape of security tools available today, choosing the right technology to support your DSPM efforts can feel overwhelming. The key is to focus on solutions that offer broad visibility across your entire data ecosystem. A strong DSPM tool should be able to:
- Scan structured and unstructured data across cloud, SaaS and on-premises environments.
- Automatically classify sensitive information.
- Monitor for policy violations and behavioral anomalies.
- Apply policies to continuously address new risks as they arise.
- Deliver actionable insights that help you prioritize and remediate risk effectively.
Some DSPM tools offer fast time-to-value by including lightweight assessments that are easy to deploy and do not disrupt business operations. For example, a simple Active Directory scan or cloud access audit can quickly reveal over-permissioned accounts, exposed sensitive data and compliance gaps — helping you identify high-risk areas before committing to a larger security initiative. These early wins create momentum and help lay the foundation for a more comprehensive, long-term DSPM strategy.
DSPM Doesn’t Replace Your Existing Tools — It Complements Them
It’s important to understand that DSPM doesn’t replace existing investments in data access governance (DAG), identity and access management (IAM) and privileged access management (PAM). Instead, it enhances them by adding visibility and context — giving you a more accurate and proactive way to manage your overall data security risk.
For example, while DAG may tell you who has access to a file, DSPM tells you whether that file contains sensitive data, whether access is appropriate, and what risks it creates based on user behavior or cloud configurations.
Why It’s Vital to Act Now
As data continues to grow and shift outside traditional perimeters, staying ahead of risk requires a new level of visibility and control. DSPM offers a path forward — one that doesn’t just react to problems, but actively surfaces and reduces them before they escalate. Whether you’re preparing for new regulations, trying to better manage your cloud footprint or simply want to improve your organization’s security posture, DSPM gives you the insight to act with confidence.
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About the Author
Farrah Gamboa is Senior Director of Product Management at Netwrix. Farrah is responsible for building and delivering on the roadmap of Netwrix products and solutions related to data security and audit & compliance. She has over 10 years of experience working with enterprise data security solutions, joining Netwrix from Stealthbits Technologies where she served as Technical Product Manager and QC Manager.
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