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RSAC insights: Concentric AI directs Google’s search techniques towards locking down data sprawl

The Last Watchdog

Security teams generally knew which on-premises server held certain batches of both structured and unstructured data; they could narrowly control access to a company’s on-premises data centers, and that was deemed good-enough, security-wise, he says.

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

The Last Watchdog

Accurate classification of personal information associated with an individual is therefore also a key requirement for compliance — and so is paper document digitization. Getting credentials from each user by itself is a huge hurdle, especially when combined with no real understanding of which users have access to which data.

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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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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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OneTrust Enhances Data Discovery and Governance by Introducing AI-Powered Document Classification

Dark Reading

Organizations can effectively classify unstructured data, automatically apply policies, and remediate violations.

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Play ransomware attack on Xplain exposed 65,000 files containing data relevant to the Swiss Federal Administration.

Security Affairs

The data exfiltrated by the gang included classified information and sensitive personal data from the Federal Administration. million files, and 65,000 documents were classified by NCSC as data relevant to the Federal Administration. Threat actors stole and leaked roughly 1.3 ” continues the report.

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How Machine Learning Can Accelerate and Improve the Accuracy of Sensitive Data Classification

Thales Cloud Protection & Licensing

Part of this process includes identifying where and how data is stored—on-premises, in third-party servers or in the cloud. While an organization might already know the location of structured data such as a primary customer database store, unstructured data (such as that found in stray files and emails) is more difficult to locate.