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Overcoming data compliance and security challenges in the age of AI

CIO

However, the diversity and velocity of data utilized by AI pose significant challenges for data security and compliance. Many AI models operate as black boxes and can be difficult for users to understand how their data is processed, stored, and compliant with policies. Do I retain ownership of my data?

Security 307
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SpyCloud’s 2025 Identity Exposure Report Reveals the Scale and Hidden Risks of Digital Identity Threats

CIO

Holistic Identity: The New Cyber Battleground Organizations have traditionally focused on securing individual account credentials, but SpyClouds research indicates that cybercriminals have expanded their tactics beyond conventional account takeover. Consumer exposure averages 27 unique emails and 227 credential pairs per user.

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Salesforce IT injects generative AI to ease its massive datacenter migration

CIO

As part of that effort, the IT team has trained LLMs on event logs to ensure the system can more accurately predict and analyze real-time data logs. Before, it took humans a significant amount of time to pore through logs to try to figure out what was going on before moving forward.

IT 528
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Top Data Lake Solutions for 2022

IT Business Edge

Consolidates Data: Snowflake can be used to store structured, semi-structured, and unstructured data of any format, no matter where it originates or how it was created. Data Query: Analysts can query data directly over the data lake with good scalability and no resource contention or concurrency issues.

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Introduction to Web Scraping with Python: A Comprehensive Guide

Data Hut

Be mindful of privacy laws and regulations like GDPR when handling personal data. Logging and Monitoring: Implement comprehensive logging to monitor scraping activities and troubleshoot issues. LinkedIn, where courts ruled that scraping publicly accessible data doesn’t count as unauthorized access under the CFAA.