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The meteoric rise of Generative AI (GenAI) enables businesses to process data faster, and in previously unimagined ways, but it also creates a slew of new risks around dataprivacy, security, and potential leaks.
The meteoric rise of Generative AI (GenAI) enables businesses to process data faster, and in previously unimagined ways, but it also creates a slew of new risks around dataprivacy, security, and potential leaks.
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. Cyber Attacks: Cyber-attacks are another cause of data loss.
IBM, Google and Microsoft have been among the big names developing and promoting homomorphic technology, and one startup is even pushing data in use encryption as a defense against data exfiltration common in ransomware attacks. Protects both structured and unstructureddata. Top Encryption Software.
As if things were not difficult enough, data collection in more states and countries is becoming stricter, with increased consumer protection laws leaving retailers applying tighter dataprivacy to their digital platforms.
As if things were not difficult enough, data collection in more states and countries is becoming stricter, with increased consumer protection laws leaving retailers applying tighter dataprivacy to their digital platforms.
Thankfully, cybersecurity professionals everywhere are working on inventing new tech and improving upon legacy technology solutions to maintain pace with these criminals who threaten our data security. Ransomware-as-a-service (RaaS) will continue to grow and become more sophisticated over the next year.
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