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Data protection strategy: Key components and best practices

IBM Journey to AI blog

While every data protection strategy is unique, below are several key components and best practices to consider when building one for your organization. It can also help them reduce vulnerabilities and ensure data is efficiently managed, compliant with regulations, and not at risk of misuse or loss. What is a data protection strategy?

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The synergy between UEM and medical device risk management

IBM Journey to AI blog

Even if it adheres to a lot of regulatory practices, for the 13th year in a row, the healthcare industry reported the most expensive data breaches, at an average cost of USD 10.93 UEM is a type of technology that helps manage and secure a variety of endpoints, including mobile devices used in the healthcare ecosystem.

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The Growing Threat of Data Leakage in Generative AI Apps

Unite.AI

It shows the need for implementing data management and security protocols to prevent compromising information such as private data. Regulatory & Legal Consequences Data leakage can violate data protection regulations like GDPR , HIPAA , and PCI DSS , resulting in fines and potential lawsuits.

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Security Governance and Risk Management in Enterprise Architecture

Unite.AI

Risk management methodologies within Enterprise Architecture At its core, risk management involves the meticulous process of spotting, evaluating, and countering potential threats. Within the enterprise architecture sphere, it translates to anticipating and managing vulnerabilities that technological choices might introduce.

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10 Ways Artificial Intelligence is Shaping Secure App Development

Unite.AI

Additionally, AI can benchmark an app's security features against established industry standards and best practices. By learning from new security threats, AI can provide up-to-date recommendations on best practices for secure code writing. AI recommends safer libraries, DevOps methods, and a lot more.

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The advantages and disadvantages of private cloud 

IBM Journey to AI blog

An organization can maintain sole responsibility for operating a private cloud, including its maintenance and overall management. Most companies, however, choose to outsource some or all of their private cloud management to a third-party provider like Amazon Web Services (AWS), Google Cloud, IBM Cloud or Microsoft Azure.

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A Beginner’s Guide to Data Warehousing

Unite.AI

Businesses must employ certain techniques to organize, manage, and analyze this data. Data warehousing is a data management system to support Business Intelligence (BI) operations. Key Components of Data Warehousing Data warehousing comprises several components working together to manage data efficiently. Enter data warehousing!

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