In essence, DSPM aims at ensuring sensitive organizational data never gets leaked, tampered with, or breached. It brings together varying kinds of processes and technologies that constantly monitor, assess, and improve the security posture of data living in any number of environments, cloud instantiations, right down to on-premises. The primary underpinning of DSPM is providing a clear view of the sensitive data, i.e., based on its whereabouts, who is overlooking it, or if it is being used. Having such visibility becomes essential to identify vulnerabilities and enforce compliance with related regulatory mandates. As such, DSPM automates the analysis and monitoring of data security so that upon any security anomaly, an organization can react quickly and circumvent any attack from happening again.

The deployment of DSPM comprises a few core activities such as finding, classifying, and assessing the risks associated with data. Organizations can use DINSPM to measure and identify any sensitive data; subsequently, categories are assigned based on the risk, and controls are then enforced against multiple security measures. This proactive approach to data security and protection actually increases their ability to effectively enforce compliance with regard to data security policies. 

Besides, DSPM can also intervene in the incident response by providing actionable insights to enable security teams to effectively address potential threats. By continually adjusting security mechanisms in response to newer threats, DSPM contributes toward ensuring a secure posture.

In sum, DSPM serves as a framework for any organization wanting to protect sensitive data in today's increasingly challenging digital environment. The integration of DSPM brings together visibility, automation, and risk management so that an organization may employ all of these to outweigh every challenge and strengthen its data security strategies.