Sensitive Data Management for AI Data Governance and Cybersecurity 

Nearly 60% of organizations experienced a ransomware attack in the last year, according to research by Sophos. Simultaneously, data security and privacy risks from using corporate data with AI are compounding; AI is also likely helping cybersecurity actors develop more sophisticated attacks in general.

In the past, cybersecurity teams were on task to monitor and protect sensitive data, while IT infrastructure and storage teams focused on backups and recovery, meeting compliance requirements for storage and managing data access control. Yet in today’s environment, managers across IT and the business need to embed security into everything they do.

Security technology is increasingly built into enterprise IT solutions including data storage, rather than existing as a separate, siloed discipline. This means that individuals managing data storage and data management must assume a larger role when it comes to protecting data.

AI data governance is a growing, complex requirement, as is understanding the risks of data across the organization. Storage managers need to know how to find and protect the most sensitive data—such as personally identifiable information (PII), IP, internal research data and more. However, doing this is difficult: unstructured data lives in silos and most of the tools that storage managers use don’t have effective, scalable capabilities for sensitive data detection.

This week, Komprise announced new sensitive data detection and mitigation capabilities for Komprise Smart Data Workflow Manager. A point-and-click interface to create, automate, monitor and audit AI and other custom workflows, Smart Data Workflow Manager now has two new scanners:

  • PII Detection: Select which PII data types to scan for such as national IDs, credit card numbers and email addresses. Komprise supports multiple classifications to identify diverse PII types within any given file.
  • Regex and Keyword Search: Find any text patterns across file and object data store silos via both keyword and regular expressions (regex) search to identify specific data formats such as employee IDs, machine or instrument IDs, product or project codes, or personal health information (PHI) data such as patient record IDs from specific healthcare IT systems.

pii-screenshot

As we predicted, the role of storage administrator is evolving to embrace security and AI data governance. This begins with secure data visibility. Enterprise storage teams are becoming data stewards, especially as it relates to managing unstructured data access. In talking to Komprise customers and partners, these are some of the key attributes that make the new sensitive data management features attractive to data-rich enterprises:

  1. Komprise now includes built-in processors to search within file contents for specific information. Use Komprise Deep Analytics and our Directory Explorer to discover specific data sets that may contain sensitive data, across petabytes of data and all storage.
  2. All processing is done locally and securely. With Komprise, data never leaves the customer environment. Workflows execute locally behind enterprise firewalls so sensitive data stays in place, unlike cloud-based data detection services.
  3. The data that we find, we tag in our metadatabase, which is the Komprise Global File Index. Data classification brings context and structure to unstructured data without any modification to the original data.
  4. Don’t just find sensitive data but take action. Once Komprise identifies sensitive data, you can use the data mobility capabilities to take appropriate action, such as confining the data or moving the data to a safe location. This is the power of Komprise: Know First. Move Smart.
  5. Sensitive data detection is a critical first step for AI data pipelines. Sensitive data detection is a pre-process step for an AI data ingestion workflow to eliminate the leakage of protected data to AI services.
  6. Set it and forget it (with auditing): Users can set workflows to run periodically; Komprise automatically finds and acts on any new sensitive data for ongoing detection, tagging and mitigation, with full audit capabilities.

In this video, we review the new PII detection and mitigation features of the Smart Data Workflow Manager:

Watch this short demonstration of a regex search in Smart Data Workflow Manager:

Komprise Smart Data Workflows and the new sensitive data detection and regex search capabilities are currently in early access for customers and partners. Komprise customers should contact their account team for more information.

Read the Press Release

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