Accelerating and securing missions The advantages of automated data classification and tagging are numerous. First is accelerated workflows. With semi- and fully automated data tagging, team members ...

IBM offers its Knowledge Catalog for data classification and management using AI and ML. It runs as a SaaS application, or in IBM’s Cloud Pak for Data. IBM uses LLMs for metadata enrichment.

User-driven and automated data classification are foundation blocks for an effective data security program. Boldon James Classifier makes it easy for employees to use their domain knowledge to ...

Co-Founder & CEO of SecureCircle, a SaaS-based cybersecurity service that extends Zero Trust security to data on the endpoint. If your company is manually classifying any data, you've already lost ...

For many, classification is driven by the need for improved storage management For many organizations, a practical means for storage data classification has remained a long-held, but unrealized, goal.

Users can also leverage generative AI for automated data asset categorization, classification, and the creation of descriptions. Ataccama’s long-standing, AI-powered business term suggestion features ...

Automated classification and search has been around for a while. A company called FAST for example, has been in the marketplace since 1997 and has been marketing enterprise-level search products ...

In my experience, this is best done with automated data classification and life cycle management. You may also need to consider hiring a Chief Data Officer to better bridge the gap between your IT ...

Neara has a nnounced that its automated LiDAR (Light Detection & Ranging) classification solution will be available through a newself-service offering. Utility companies, and geospatial teams that ...

The solution is automated classification and tagging – combined with attribute-based access control enabled by an open technology standard called Trusted Data Format, or TDF.