Why DSPM and DLP Must Work Together and Why GTB™ Built Them That Way Before 2022
Enterprise data security is under strain. Sensitive data now runs across cloud platforms, endpoints, SaaS applications, and AI-driven workflows, yet many security programs remain fragmented. Tools are deployed in silos, policies are inconsistent, and teams are left to react to risk rather than control it.
The question is no longer whether organizations need Data Security Posture Management (DSPM) or Data Loss Prevention (DLP). They need both — working together. GTB Technologies® recognized this well before 2022, long before DSPM was formally defined as a market category.
DSPM Without DLP Is Visibility Without Control
DSPM provides critical insight into where sensitive data resides, how it is accessed, and how exposure changes over time. Discovery and posture assessment are essential foundations, especially in cloud-first environments.
- But DSPM alone does not protect data.
- Identifying exposure does not stop misuse.
- Scoring risk does not prevent exfiltration.
- Reporting posture does not enforce policy.
- Without DLP, DSPM remains observational.
Traditional DLP Without DSPM Is Control Without Context
Traditional DLP focuses on enforcing policy — blocking, alerting, or monitoring data movement. The result is over-blocking, excessive alerts, and operational friction that erodes trust in security controls and slows the business.
Effective DLP requires continuous posture intelligence.
Why GTB™ Unified DSPM and DLP Early
Long before 2022, GTB™ built a platform that continuously discovers sensitive data, understands it at the content level, evaluates risk in context, and enforces policy in real time — across data at rest, in motion, and in use.
What the market now labels as DSPM was never a separate module or reporting layer for GTB™ . It was designed as an enforceable state, tightly integrated with content-aware DLP and automated response. When posture changes, enforcement adapts immediately — without handoffs between tools or delayed workflows.
Content Awareness Is the Critical Link
Many modern DSPM and DLP tools rely on metadata, labels, or inference. These approaches scale quickly but often sacrifice accuracy, especially with unstructured data.
GTB™ inspects the actual content of data to determine sensitivity and risk. This improves the accuracy of DSPM posture and enables precise DLP enforcement.
From Posture to Protection
The market’s growing focus on DSPM reflects a recognition that data security must start with understanding the data itself. But visibility alone is not enough.
By unifying DSPM and content-aware DLP into a single platform — built years before 2022 — GTB™ has enabled organizations to move from observing risk to controlling it.
That is what modern data security requires.
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