eDiscovery Daily
MAY 20, 2024
John Evans: Data volumes and types have expanded significantly, making automation crucial. Forensic tools have become more effective in processing data, and web capture technologies have streamlined data collection through automation. Paul Noonan: Rogue corporate communication platforms pose challenges in data collection.
IBM Big Data Hub
NOVEMBER 14, 2023
Data products and data mesh Data products are assembled data from sources that can serve a set of functional needs that can be packaged into a consumable unit. Each data product has its own lifecycle environment where its data and AI assets are managed in their product-specific data lakehouse.
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ForAllSecure
MAY 17, 2023
That's an example of AI. So while I'm not going to log in as root or admin on the bottom for a lot of those kinds of scenarios, I absolutely help our clients understand based upon industry knowledge based upon what we see, etc. I will give you an example. VAMOSI: That’s on the data collection side.
eSecurity Planet
SEPTEMBER 16, 2022
For example, Experian’s 2021 Global Identity and Fraud Report stated that 82% of surveyed businesses had adopted customer recognition strategies. As the volume of data collected increases, users may experience slower processing times than they expect. 52% of companies with more than $10 billion in revenue were hit with fraud.
eSecurity Planet
AUGUST 15, 2022
Access to 350+ cloud connectors for data collection and API-based cloud integrations. Use case content and investigation workbench to create cases with industry examples. Uniform analysis from different data sources using the Elastic Common Schema (ECS). Splunk Enterprise Security.
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