Features and benefits

Data Discovery and Classification

Data discovery automatically identifies data across an organization's data stores, particularly those in the cloud, based on sensitivity and regulatory requirements.

Data classification serves as a vital element of data protection, enabling organizations to identify, categorize, and secure sensitive information with precision. By enabling administrators to detect and apply classification labels based on a defined organizational taxonomy such as Public, Proprietary, Private to the data, organizations can enhance their visibility regarding the location and utilization of sensitive information. This practice is essential for effective data management and security.

Forcepoint DSPM can rapidly scan files stored on multiple clouds and on on-prem environments, equivalent to approximately 1 million files per hour. With this high-performance discovery, Forcepoint DSPM enables organizations to quickly view data across large data collections, including ChatGPT Enterprise. Also, Forcepoint does not charge for discovery runs – customers can run discovery as often as they like with no additional charges.

Data Visibility and risk assessment

Forcepoint DSPM allows you to inspect permissions for all files and users. Data admins can see which individuals can access a file or file shares across the organization. With a single click, you can immediately view permissions for all scanned files. Also, you get reports in real-time along with a dashboard with extensive details, giving a birds-eye view into dark data, as well as providing an high-level data risk assessment to help you understand the areas of highest data risk.

Monitoring and Alerting

Monitor data access and usage to detect suspicious activities or policy violations.

AI Mesh

Forcepoint DSPM discovers data across cloud and network sources and automatically and classifies the data, utilizing an advanced AI classification engine. The AI Mesh empowers organizations with superior data classification accuracy.

Its networked AI architecture, leveraging a GenAI Small Language Model (SLM) and advanced data and AI components, efficiently captures context from unstructured text. Customizable and efficient, it ensures rapid, accurate classification without extensive training, enhancing trust and compliance. Ultimately, this high accuracy has enabled organizations that had trouble with other popular classification methods to dramatically reduce false positives/negatives, successfully protect their intellectual property, and save on of time and resources.

Compliance

Organizations can ensure compliance with data protection regulations, industry standards (e.g., GDPR, PII, ITAR, PCI), and internal policies. This helps to maintain data security and avoid penalties while meeting legal requirements.