CADF Cloud Auditing Data Federation
The Cloud Auditing Data Federation (CADF) standard defines a full event model anyone can use to fill in the essential data needed to certify, self-manage and self-audit application security in cloud environments.
Potential consumers of cloud deployments need assurance that the security policies they require on their applications are as consistently managed and enforced “in the cloud” as they would be in their enterprise. CADF is an open standard that addresses this need by enabling cross-vendor information sharing via its data format and interface definitions.
Supporting the federation of normative audit event data to and from cloud providers, CADF delivers new levels of insight into the provider’s hardware, software, and network infrastructure used to run specific tenant applications in a multi-vendor environment – whether private, public or hybrid.
With a robust query interface that can be extended to reflect the unique resources of each provider, this standard also defines a means to attach domain-specific identifiers, event classification values, and tags that can be used to dynamically generate customized logs and reports for cloud subscribers or customers. In addition, CADF goes beyond log-based periodic audits to offer the ability to perform real-time performance metering and monitoring, which can be used to assure customer Quality-of-Service.
CADF is part of DMTF’s Cloud Management Initiative, which is focused on developing interoperable cloud infrastructure management standards and promoting the adoption of those standards in the industry.
CADF has been implemented in pyCADF: A Python-based CADF Library, used by OpenStack (implementations are shared by way of example only, and is not endorsed nor tested by DMTF).
DMTF welcomes feedback on our standards, but requires that individuals submitting comments first agree to our DMTF Feedback Policy.
White Papers and Technical Notes
|DSP2028||1.0.0a||Cloud Auditing Data Federation (CADF) Use Case White Paper||27 Jun 2012||Historical|