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Extending Data Loss Protection (DLP)

Data loss prevention (DLP) software identifies and prevents potential data breaches/ exfiltration by monitoring, detecting, and blocking sensitive data while in motion (network traffic), at rest (data storage), and in use (endpoint actions). However, DLP solutions require high levels of maintenance, configuration, supervision, and resource allocation while delivering partial discovery data that lacks lineage, transaction analysis, and accurate tracking of data in motion. 

This lack of a holistic approach to data security leads to inadequate enforcement of overly restrictive policies, numerous false positives, and poor user experience. Additionally, the move towards the cloud has exponentially increased the number of locations where copies of sensitive data exist, and DLP solutions are simply not equipped to keep up. Extending data loss prevention solutions to reduce the manual effort inherent in their use is a business imperative.

How We Help Inventa is the premier solution for data discovery and data classification of sensitive data at scale, whether that data is at rest or in motion. Inventa seamlessly extends traditional DLP solutions, offering a set of flexible tools that complement and leverage DLP capabilities, delivering a holistic solution that covers all data loss prevention needs as well as discovery, analysis, lineage, and more.

Inventa captures PII on the network and identifies repositories for scanning, scans candidate repositories for a detailed understanding of the PII contained, and then classifies and consolidates the PII for a unified view of primary PII and related copies wherever they exist across the enterprise. continuously monitors the network for PII and describes the flow of PII for validation and/or investigation.

Extending data loss prevention with an integrated Inventa & DLP solution saves hours of manual effort per month by eliminating the need for business users or security analysts to manually identify data sources to protect, define sensitive data, translate business policy to technical policy, or manually reconfigure the DLP.

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