Definition <> A cloud workload is an abstraction of the actual instance of a functional application that is virtualized or containerized to include compute, storage, and network resources (NIST)

Historically, IT Auditors found cloud technology compelling due to its capability to swiftly terminate compromised workloads and isolate malware or breaches, thereby minimizing their impact, e.g. when a server is compromised, administrators can spin up a new one from a known-good image while terminating the infected instance. BUT admin response time is paramount to prevent malware propagation – leverage AI Cloud Security agent diligently.

Key Considerations

  • Understand your private/public cloud service models – IaaS, PaaS & SaaS.
  • Clearly define data ownership and cloud management responsibilities in 3rd party cloud contracts.
  • Read, Rely & Remediate R³ SOC2 report on applicable Security, Availability, Processing Integrity, Confidentiality & Privacy criteria.
  • Test & Monitor data access-ownership provisions, KPI and cloud service reporting.
  • Fortify DevSecops cloud control & Agile process practices
  • Perform real-time monitoring of open-source codes usage for vulnerability risks.
  • Consider 2ᶮᵈ Line of Defense (Risk, Controls & Financial Reporting) managed AI Cloud Compliance agent.