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  2. Cloud computing issues - Wikipedia

    en.wikipedia.org/wiki/Cloud_computing_issues

    The 2024 Flexera State of Cloud Report identifies the top cloud challenges as managing cloud spend, followed by security concerns and lack of expertise. Public cloud expenditures exceeded budgeted amounts by an average of 15%. The report also reveals that cost savings is the top cloud initiative for 60% of respondents.

  3. Cloud computing security - Wikipedia

    en.wikipedia.org/wiki/Cloud_computing_security

    Cloud computing and storage provide users with the capabilities to store and process their data in third-party data centers. [1] Organizations use the cloud in a variety of different service models (with acronyms such as SaaS, PaaS, and IaaS) and deployment models (private, public, hybrid, and community).

  4. Off-site data protection - Wikipedia

    en.wikipedia.org/wiki/Off-site_data_protection

    In computing, off-site data protection, or vaulting, is the strategy of sending critical data out of the main location (off the main site) as part of a disaster recovery plan. Data is usually transported off-site using removable storage media such as magnetic tape or optical storage .

  5. Data center security - Wikipedia

    en.wikipedia.org/wiki/Data_center_security

    The purpose of data security is to protect digital information from unauthorized access. It is also important to note that data security is different from data privacy. There are many situations where data center security would be threatened on, especially for cloud-based data.

  6. Cloud computing - Wikipedia

    en.wikipedia.org/wiki/Cloud_computing

    Cloud users entrust their sensitive data to third-party providers, who may not have adequate measures to protect it from unauthorized access, breaches, or leaks. Cloud users also face compliance risks if they have to adhere to certain regulations or standards regarding data protection, such as GDPR or HIPAA. [18] Another challenge of cloud ...

  7. Privacy-enhancing technologies - Wikipedia

    en.wikipedia.org/wiki/Privacy-enhancing_technologies

    The assumption here is that third-parties cannot be trusted. Data protection goals include data minimization and the reduction of trust in third-parties. [2] Examples of such technologies include onion routing, the secret ballot, and VPNs [6] used for democratic elections.

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    mail.aol.com

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  9. Data loss prevention software - Wikipedia

    en.wikipedia.org/wiki/Data_loss_prevention_software

    The data floating in the cloud needs to be protected as well since they are susceptible to cyberattacks, accidental leakage and insider threats. Cloud DLP monitors and audits the data, while providing access and usage control of data using policies. It establishes greater end-to-end visibility for all the data stored in the cloud. [11]