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Keeping Up with New Data Protection Regulations

erwin

Some industries, such as healthcare and financial services, have been subject to stringent data regulations for years: GDPR now joins the Health Insurance Portability and Accountability Act (HIPAA), the Payment Card Industry Data Security Standard (PCI DSS) and the Basel Committee on Banking Supervision (BCBS).

GDPR 100
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Everteam.iFile | Connect, Extract, Process, Manage and Analyze all your Stored Information

Everteam

A greater effort is required to grant a safe, smart and secure way to share and use this data, especially when it comes to key business processes and workflows that allow organizations and governments to communicate. This auto classification service will organize the documents according to their metadata.

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Mastering healthcare data governance with data lineage

IBM Big Data Hub

Healthcare organizations need a strong data governance framework to help ensure compliance with regulations like the Health Insurance Portability and Accountability Act of 1996 (HIPAA) in the US and the General Data Protection Regulation (GDPR) in the EU. Inaccuracies might also lead to more delays or complications with insurance coverage.

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The most valuable AI use cases for business

IBM Big Data Hub

For example, Amazon reminds customers to reorder their most often-purchased products, and shows them related products or suggestions. And if AI can guide a Roomba, it can also direct self-driving cars on the highway and robots moving merchandise in a distribution center or on patrol for security and safety protocols.

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A hierarchy of data security controls

Thales Cloud Protection & Licensing

For most enterprise IT security professionals, there are some common reasons that we need to protect a given data set. Data Security Protection Layers, Risks, and Controls. But it’s a poor data security control for use with systems that need access to sensitive information within a data center or cloud environment.

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The 7 most common data quality issues

Collibra

Incomplete or inaccurate data, security problems, hidden data – the list is endless. Some examples of poor data quality in business include: . Duplication of contact details, for example, affects customer experience significantly. For example – a zip code or phone number or SSN for example. Hidden data.

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Best Disaster Recovery Solutions for 2022

eSecurity Planet

For example, snapshots have been used to improve recovery point objectives (RPOs) and recovery time objectives (RTOs). Many vendors now offer disaster recovery as a service (DRaaS), which is a good way to integrate disaster recovery with advanced security and data protection solutions. Top DR Solutions Including Security Features.