Policy as code for AI governance
How to turn your AI usage policy into executable rules: risk classification, attribute-based authorization, guardrails and CI tests.
Tag
1 publications with this tag.
How to turn your AI usage policy into executable rules: risk classification, attribute-based authorization, guardrails and CI tests.
Put it to work
Everything we cover here — AI governance, legacy system integration, audit trails and preserved corporate knowledge — is available on the e.works platform at eworks.cloud.
e.works infrastructure on AWS
A managed environment protected by e.works on AWS, with encryption, per-company isolation, backup and high availability.
On-premises, in your environment
The same platform running in your company's data center or private cloud, when data sovereignty requires that nothing leaves your perimeter.
In either model your data stays yours — with access control, audit logging, configurable retention and guaranteed availability.
Newsletter
Analysis on automation, industrial data and technology adoption. No spam.