The Need for DSPM

Modern organizations have data dispersed across hybrid, multicloud environments. The data can be anywhere from a cloud repository or data lake to a SaaS application or a private database. Such a complex data environment creates significant challenges for organizations, ranging from a lack of visibility into sensitive data to inefficient security controls.

Traditional tools fail to provide visibility and context into sensitive data, instead focusing on networks or workloads that add to the overall complexity.

Data security challenges increase even more when Generative AI (GenAI) is added to the mix. Data flowing through large language models (LLMs) for fine-tuning or training purposes must be effectively governed and protected to prevent risks such as sensitive information disclosure and training data poisoning, among others.

The introduction of GenAI has, in fact, added an extra layer of compliance demands to existing regulatory frameworks, such as CPRA or GDPR . Now, protecting data and AI assets is not only a cybersecurity need but also a compliance requirement.

Apart from that, CISOs are increasingly concerned about maintaining a balance between security and business agility. For instance, due to a lack of adequate data protection and security controls, even minor incidents can turn into serious ones, resulting in damaged brand reputation and legal penalties. On the other hand, business users require seamless access to data to serve customers efficiently and drive innovation. Balancing these two aspects remains a significant challenge for CISOs.

Data Security Posture Management (DSPM) provides a strategic framework tailored to meet the unique needs of modern data and AI security. DSPM helps organizations discover, classify, and secure sensitive data. It provides a centralized and comprehensive view of the location of data, its access pattern, and security controls. By leveraging this unified intelligence, DSPM helps reduce risks, ensure compliance, and fill the gaps of legacy security tools.