TextIQ Provides AI Solution that Enables Enterprises to Identify Sensitive Information within Data

Text IQ, an AI company helping organizations manage and mitigate risks in their data, is releasing Text IQ for Privacy, an AI solution that identifies and categorizes personal and sensitive information hidden within enterprise data.

In this new era, dubbed Privacy 2.0, characterized by the increasing threat of data breaches, the proliferation of unstructured data, and heavier regulatory requirements, Text IQ for Privacy will enable enterprises to proactively manage personal information, particularly hard-to-find sensitive information which otherwise remains hidden in large unstructured data sets, according to the vendor.

Text IQ’s system automates the discovery of personal and sensitive information, returns accurate and relevant results, reduces the need for human review, and lowers costs.

Powered by breakthrough AI and unsupervised machine-learning techniques, Text IQ for Privacy automatically identifies and categorizes personal and sensitive information from both structured and unstructured sources, enabling redaction and deduplication before presenting the findings for human review.

Text IQ for Privacy is the first solution designed to meet the numerous privacy-protection requirements enterprises face today

“What sets us apart is the ability of Text IQ for Privacy to accurately identify personal and sensitive data equally well from structured and unstructured sources,” said Apoorv Agarwal, Text IQ’s co-founder and CEO. “Most solutions available now can find relevant data from within structured sources. But finding it from within unstructured sources—80% of today’s enterprise data—is a much higher hill to climb. Another exceptional feature is the speed. We empower companies to move at the velocity they need when responding to data requests and breaches.”  

Text IQ for Privacy includes key capabilities such as:

  • Data categorization, to accurately identify sensitive information and eliminate manual data mapping.
  • Discovery and redaction, to accurately identify personal information and reduce disclosure risk.
  • Data breach response, to automatically deduplicate and associate data to entities, thereby reducing response time by 50%.
  • DSAR Fulfillment Automation, to meet aggressive request deadlines and reduce manual review by 75%.

For more information about this release, visit