Cyber security threats are inevitable and continue to grow in volume and sophistication.

These incidents can include unauthorized access to sensitive information, such as personally identifiable records, financial data, health data, and so much more. Advanced data breaches can expose organizations to exorbitant fines and potential litigation.

The primary goal of an effective post-breach forensics or information security incident management strategy is to evaluate the data that’s been exposed in cases of breach and respond quickly to minimize the impact of the incident on the organization. Identifying, logging, and analyzing security threats or incidents to sensitive data assets in real time provides a robust and comprehensive view of security issues within the organization. Legacy DLP solutions fail to provide the zero-trust architecture and thorough visibility needed to rapidly identify and respond to threats.

How We Help Inventa is the premier solution for data discovery and data classification of sensitive data at scale. Inventa assumes zero trust in data input and discovers sensitive data (structured, unstructured, semi-structured) across the organization in known and unknown locations. Its unique passive network packet capture approach helps identify sensitive data flowing through the organization and enables organizations to monitor and analyze security incidents rapidly and effectively

With Inventa, organizations can understand the data exposure and data lineage for Post Breach Forensics and Incident Response, and quantify potential data exposure for Incident Prioritization and Response Automation

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Even as the company became aware of the breach, they did not initially realize the
scope and range: ascertaining what type of information was compromised.

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