Big data Threat Detection Unstructured Data 
SecureWorld News
APRIL 3, 2023
This problem becomes even more pronounced when dealing with vast amounts of data. The difference between Security Data Lake and Data Lake Corporate Data Lakes usually store unstructured data, including details about the company's products, financial metrics, customer data, marketing materials, etc.
Thales Cloud Protection & Licensing
NOVEMBER 5, 2024
Reduce risk, complexity, and cost : Simplify compliance and minimize reputational and operational risk with centralized data security governance. Accelerate digital transformation : Increase customer satisfaction by adopting innovations, such as IoT, cloud, and Big Data, faster with a framework for a zero-trust world 4.
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CyberSecurity Insiders
NOVEMBER 7, 2022
But on-premises processing power against “unstructured” data was still quite slow, so it could take eons to query your essentially raw data and get any semblance of an answer about the root cause of an alert, security incident, or otherwise. Phase 2: Splunk entered the market, making search and access easy.
Security Boulevard
NOVEMBER 5, 2024
Reduce risk, complexity, and cost : Simplify compliance and minimize reputational and operational risk with centralized data security governance. Accelerate digital transformation : Increase customer satisfaction by adopting innovations, such as IoT, cloud, and Big Data, faster with a framework for a zero-trust world 4.
eSecurity Planet
SEPTEMBER 13, 2021
LogRhythm Threat Lifecycle Management (TLM) Platform delivers a coordinated collection of data analysis and incident response capabilities to enable organizations around the globe to rapidly detect, neutralize and recover from security incidents. Key Features: Automated threat detection. FireEye Mandiant Advantage.
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