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Unstructured-data management firm Komprise Inc. today announced new data detection and mitigation capabilities to help organizations prevent the leaking of personally identifiable information and other sensitive data to artificial intelligence and to reduce the risk of data breaches.
With the announcement, the Komprise Smart Data Workflow Manager now includes detection for PII, as well as regular expressions and keywords to simplify and automate the process of finding and tagging sensitive data and moving it to protected locations.
The problem the new capabilities seek to address is a well-known one: employees and other users sharing sensitive data where they shouldn’t. The rise of generative AI has further made the issue more prominent, with attempts to put PII into generative AI platforms now representing over half of data loss prevention events, followed by confidential documents.
Komprise argues that the shift has resulted in storage administrators now being responsible for data governance and compliance, but they often lack ways to do this systematically across their data estate.
The new functionality in the Komprise Smart Data Workflow Manager introduces robust capabilities for managing sensitive data. The service now offers standard PII detection that allows users to scan for data types such as IDs, credit card numbers and email addresses, with support for multiple classifications to identify various PII types within a file.
For more customized needs, users can now detect sensitive data through keyword and regex searches, enabling for the identification of specific patterns such as employee IDs, machine IDs or healthcare patient record IDs. The feature simplifies the discovery of unique data formats, ensuring tailored data governance across diverse industries.
The Komprise solution operates locally behind enterprise firewalls to keep sensitive data in place and avoids reliance on cloud-based detection services. Once identified, users can establish workflows to confine or securely relocate sensitive data, reducing the risk of breaches and non-compliance.
Komprise also now supports proactive management with features like pre-processing for AI ingest to prevent data leaks and ongoing workflows for continuous detection and tagging. The capabilities include full audit functionality to ensure comprehensive tracking and governance of sensitive data over time.
“The risk of sensitive data breaches is escalating and thereby paralyzing organizations from using AI,” said Chief Executive Kumar K. Goswami.
Komprise is a venture capital-backed startup that raised $85 million over four rounds, including rounds of $24 million in 2019 and $37 million in 2023. Investors in the company include Canaan Partners, Celesta Capital Management, Multiplier Capital LP and Top Tier Capital Partners.
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