STAR Registry Listing for
Senseye Predictive Maintenance
Founded in 2013 by the Cloud Security Alliance, the Security Trust Assurance and Risk (STAR) registry encompasses key principles of transparency, rigorous auditing, and cloud security and privacy best practices.
Senseye Predictive Maintenance
Senseye Predictive Maintenance software is a cloud-based platform which uses artificial intelligence (AI) and machine learning (ML) to automatically interpret industrial machines' condition now and in the future, with the ultimate goal of saving operational and maintenance expenses.
View other services by Siemens AG:
- Riffyn X AWS public SaaS
- Opcenter Intelligence
- PSS Workbench
- EnergyIP® MDM SaaS
- eCAR Operation Centre
- MISO-SGem
- DEOP
- EnergyIP MDMaaS
- Industrial Edge Management Cloud
- Insights Hub AWS public SaaS
- SISW Siemens Xcelerator as a Service (XaaS)
- SiGREEN
- SISW Cloud Application Services (CapS) X offerings
- Building X
- Electrification X
Organizations who have the CSA Trusted Cloud Provider seal demonstrate
a commitment to organizational security.
They are a CSA Corporate Member volunteer regularly for CSA, and have
at least one staff member who has
earned their CCSK.
Information about Senseye Predictive Maintenance
Listed Since: 06/06/2024
Last Updated: 06/06/2024
Listed Since: 06/06/2024
Last Updated: 06/06/2024
STAR Level 1
Self-Assessment & Partner-Provided
Consensus Assessments Initiative Questionnaire v4.0.2
CAIQ 4.0.2 Self-assessment
Offers an industry-accepted way to document what security controls exist in IaaS, PaaS, and SaaS services. It provides a set of Yes/No questions a cloud consumer and cloud auditor may wish to ask of a cloud provider to ascertain their compliance to the CSA Cloud Controls Matrix (CCM).
(Deprecated)
Deprecated assessments do not necessarily indicate
non-compliance. In this case, the self-assessment
has not been updated in more than one year. We suggest
contacting this organization directly to request that
they submit an updated self-assessment.
