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Artificial intelligence (AI) as an Enabler for Enhanced Data Security

Security Affairs

AI-driven systems overcome these limitations by using advanced machine learning models and context-aware algorithms to recognize complex data types, providing a more reliable and dynamic classification framework. This is particularly useful for unstructured data (as found in most document stores, email and messaging systems, etc.)

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Collibra AI Governance and de-risking unstructured data at Ohalo

Collibra

It seems like a day doesn’t pass without some AI-powered innovation making headlines, rousing markets and occasionally causing public worry. Many of Collibra’s customers already have AI fed with high quality structured data. What they want is the same thing for unstructured data — in an easy-to-use, well-integrated fashion.

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Integrating Structured and Unstructured Data; Are we there already?

Everteam

“By 2022, 50% of organizations will include unstructured, semistructured and structured data within the same governance program, up from less than 10% today.” Gartner Market Guide for File Analytics. Much of the data we manage today is semi-structured, so why have separate solutions to manage each one?

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GUEST ESSAY: How stricter data privacy laws have redefined the ‘filing’ of our personal data

The Last Watchdog

Companies are also often dealing with numerous kinds of storage, from relational databases to schema-less databases, to giant data dumps of unstructured data in, say, Amazon S3 data storage buckets. It’s no wonder that the global GDPR services market is expected to reach $4.4 billion by 2027. Less can be more.

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2025 IDP Market Dynamics

Info Source

By Petra Beck, Senior Analyst at Infosource I continue my tradition of providing my top 10 predictions for the Intelligent Information Processing (IDP) market at the beginning of the year. These are highlights of my much more comprehensive assessment of market dynamics that influence the development of the IDP market. #1:

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RSAC insights: Malware is now spreading via weaponized files circulating in data lakes, file shares

The Last Watchdog

Digital content creation is flourishing with intellectual property, financial records, marketing plans and legal documents circulating within a deeply interconnected digital ecosystem. The trend that we’re seeing is that more than 30 percent of the content flowing into data lakes is from untrusted sources,” he says. “It’s

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The Impacts of Data Loss on Your Organization

Security Affairs

Examples: Customer Personal Identifiable Information, transactional data, inventory records, and financial statements. Unstructured Data: Unstructured data, on the other hand, is characterized by its lack of organization and predefined format.