Statements (60)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:IBM_Watson_for_Cloud_Services
|
| gptkbp:analyzes |
compliance data
third-party risks data privacy risks |
| gptkbp:career_assists |
data classification
|
| gptkbp:developed_by |
gptkb:CEO
|
| gptkbp:enables |
automated reporting
policy enforcement data minimization data transparency data accountability data sharing compliance |
| gptkbp:enhances |
data security measures
|
| gptkbp:facilitates |
stakeholder communication
compliance audits cross-border data transfers data audits |
| https://www.w3.org/2000/01/rdf-schema#label |
Watson for Data Compliance
|
| gptkbp:integrates_with |
gptkb:Cloud_Computing_Service
existing IT infrastructure |
| gptkbp:is_designed_for |
data compliance
|
| gptkbp:offers |
gptkb:software
customizable solutions training resources risk assessment tools data access controls compliance checklists compliance management tools data protection training data impact assessments data compliance assessments insights into data usage |
| gptkbp:provides |
audit trails
data lineage tracking real-time monitoring incident response capabilities regulatory updates data governance solutions data usage policies user-friendly dashboards privacy impact assessments data protection assessments data risk frameworks data risk mitigation strategies |
| gptkbp:supports |
regulatory compliance
data retention policies GDPR compliance data governance frameworks data subject rights data breach response CCPA compliance privacy by design principles data integrity measures data ethics initiatives data compliance culture |
| gptkbp:utilizes |
gptkb:Artificial_Intelligence
gptkb:software_framework |
| gptkbp:works |
organizations comply with regulations
|