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The role of unstructured data and Large Language Models in securing data

IT Security Guru

Advancements in Artificial Intelligence (AI) and Machine Learning (ML) have lowered the barrier of entry for non-security users to independently develop and manage their own data products, which when decentralised to enable separate cross domain data analysis is known as ‘data mesh’.

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DCAP Systems: Protecting Your Data with Advanced Technology

SecureWorld News

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. Data access control raises many questions not only among users but sometimes also among security professionals. Who is the protentional customer of such solutions?

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7 Key Takeaways From IBM's Cost of a Data Breach Report 2024

Security Boulevard

Data breaches solely involving public clouds were the most expensive type of data breach, costing $5.17 This data is often invisible to security teams, making it difficult to track, classify, and secure. Security teams can easily track, classify, and secure shadow data while reducing the risk of breaches.

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Security Data Lakes Emerge to Address SIEM Limitations

eSecurity Planet

This limitation on the alerts also limits the visibility for the security team and constrains the ability of modern artificial intelligence (AI) and machine learning (ML) tools to learn and recognize potentially malicious behavior. What is a Security Data Lake? Security Data Lake Vendors.