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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 unstructureddata (as found in most document stores, email and messaging systems, etc.)
SentinelOne claims the technology will allow it to eliminate most data schema requirements and offer an XDR platform that can ingest logs and other unstructureddata in real time from virtually any source or database, something the company is keen to incorporate into its extended detection and response platform.
With the increase in the complexity of IT infrastructures and the various ways of storing data, safeguarding against data leaks has become more resource-intensive. Since data is the target of the vast majority of attacks, organizations should concentrate on safeguarding critical data.
The concept of a SecurityData Lake, a type of Data Lake explicitly designed for informationsecurity, has not received much attention yet. However, this is not your ordinary data storage solution. It can potentially bring a company's security to the next level.
Examples: Customer Personal Identifiable Information, transactional data, inventory records, and financial statements. UnstructuredData: Unstructureddata, on the other hand, is characterized by its lack of organization and predefined format.
While a stolen credit card has a time-limited value, PHI and electronic medical records (EMR) are packed with immutable data that can, and do, fetch hundreds of dollars per stolen record on illegal online markets. Healthcare Data Prized by Cybercriminals. For data in motion and in use. Which brings me to my next point.
In order to achieve a successful ‘ecosystem of excellence and trust’, Europe will need not only to catch up on digitalisation and complete the establishment of the ‘Digital Single Market’ but also deploy substantial investment for an EU-wide development and adoption of AI.
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