Data sprawl, the uncontrolled proliferation of data across cloud platforms, collaboration tools, and devices, is creating unprecedented challenges for organizations. As organizations generate and store ever-increasing volumes of unstructured data, every new file, workspace, or database adds complexity, multiplies exposure points, and increases the likelihood of sensitive information slipping through the cracks.
Many organizations rely on data discovery tools as their first line of defense. But in sprawling, dynamic environments, discovery is simply not enough. Without continuous, real-time visibility into how data moves, evolves, and is accessed, even the most thorough discovery efforts can quickly become outdated, leaving critical information exposed and business operations at risk.
The Challenge of Unstructured Data
Businesses can gain valuable insights from unstructured data, but its characteristics make it more challenging to protect and manage than structured data. Unlike traditional structured data, which lives in controlled systems with defined formats — like rows and columns in spreadsheets, SQL tables, or customer records — unstructured data doesn’t follow a consistent structure. This makes it harder to categorize, analyze, and secure using traditional tools.
Unstructured data can be messy and wide-ranging, often including text-heavy or media-rich content. Common examples include:
- Emails, chat messages, and collaboration platform conversations (think Slack and Teams)
- Documents (Word, PDFs, presentations)
- Images, audio, and video files
- Social media posts, comments, and logs
- Sensor data or IoT device outputs
Unlike structured data, unstructured data often exists across multiple locations, including on devices, in cloud storage, and across various apps, making governance more complex. According to Gartner, approximately 80% of all new enterprise data is unstructured, and its growth rate far exceeds that of structured data. Because unstructured data frequently contains sensitive business information, intellectual property, or other critical content, organizations face increased risk of exposure if proper security measures are not in place.
Discovery Isn’t a One-Time Fix
Many organizations treat data discovery as a one-time task: locate sensitive files, consider the job done, and check the box. But data isn’t static, and the reality is that discovery is never truly finished. Every day, users create new assets, share files externally, or change permissions. Without continuous visibility, risk inevitably returns because one-off audits capture just a snapshot of a constantly evolving environment. In the cloud era, those blind spots are where breaches begin.
The solution goes beyond simple discovery. Continuous, context-aware data mapping tracks sensitivity, access, and risk in real time, giving security teams a full view of where data lives, how it moves, and who interacts with it.
Your goal isn’t just to find sensitive data but to understand its relationships across systems, users, and business processes. Only then can data security be adaptive, proactive, and resilient.
Mapping Data in Real Time
Context-aware mapping goes beyond visibility. DSPM intelligently classifies data as sensitive, regulated, or business-critical, then ties that classification to exposure factors such as public sharing, misconfigurations, weak encryption, or excessive privileges. This enables risk-based prioritization that reduces alert fatigue and directs effort toward the data that is both sensitive and exposed, maximizing risk reduction per unit of effort.
But visibility alone does not equal protection. Identifying risky data doesn’t fix the risk. Real-time monitoring, automated policy enforcement, and remediation workflows are required to close the gap between discovery and action. DSPM continuously detects drift, such as newly open sharing links or expanded permissions, and applies guardrails to prevent or correct risky changes, turning insight into actionable security.
By prioritizing the highest-impact risks and providing guided or automated remediation, DSPM accelerates response times and delivers measurable improvements in security posture. Always-on, context-aware data mapping transforms insight into action, enabling proactive visibility, targeted remediation, and sustained reduction of data risk.
Key DSPM Use Cases
From uncovering hidden data to preventing breaches, DSPM transforms how organizations protect and govern their most critical assets across complex environments:
- Sensitive Data Discovery and Classification Across Cloud and Hybrid Environments: Many organizations lack visibility into where sensitive data resides including across SaaS apps, databases, file shares, and cloud buckets. DSPM uncovers sensitive data sprawl, identifies shadow IT storage, and clarifies the scope for compliance and risk management.
- Data Access Risk Management: Cloud data stores are often exposed through overly broad access including public S3 buckets or globally shared Google Drive files. DSPM detects excessive permissions, stale accounts, and risky access combinations that could enable data breaches.
- Misconfiguration and Posture Monitoring: Cloud-native data systems are frequently misconfigured, such as unencrypted, publicly exposed, or lacking audit logging. DSPM provides continuous monitoring to ensure alignment with internal policies and external frameworks including CIS and NIST.
- Insider Threat and Data Exfiltration Detection: Employees, contractors, or compromised accounts can attempt to move sensitive data outside approved channels—such as uploading to GenAI tools or personal cloud storage. DSPM detects abnormal access patterns and risky data usage that traditional DLP solutions often miss.
- Compliance and Audit Readiness: Many organizations lack clear visibility into where regulated data resides and how it’s protected. DSPM delivers the classification, control, and continuous oversight needed to ensure adherence to key data protection and security standards. It also provides automated reporting and audit evidence for frameworks like GDPR, CCPA, HIPAA, and SOX, simplifying compliance and assessment processes.
Want to explore more DSPM use cases? Check out 10 analogy‑powered examples that highlight how DSPM augments your existing tools and elevates your organization’s security posture.
Protect Your Data, Reduce Risk, Stay in Control
Fortra DSPM unifies data discovery, classification, and protection into a single, automated solution. It continuously maps sensitive data across cloud repositories and contextualizes each asset based on sensitivity, user activity, and exposure level. By enforcing the right security controls according to classification, it minimizes unnecessary access while protecting critical information.
Unlike traditional DSPM, Fortra’s modern approach integrates data mapping and data security into a continuous, adaptive cycle. This gives security leaders confidence in their evolving cloud footprint. With Fortra DSPM, organizations can tackle data sprawl, secure unstructured data, and reduce operational risks caused by exposed or unmanaged information.
Ready to discover the Fortra DSPM difference? Gain complete clarity on your cloud data landscape with our 30-day free data risk assessment, powered by DSPM. There’s no commitment, just real insights into your data security and protection.
