Statements (70)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
security architecture
|
| gptkbp:compatibleWith |
GDPR
PCI DSS legacy systems DevSecOps practices FIPS 140-2 |
| gptkbp:designedFor |
mainframe systems
|
| gptkbp:enables |
compliance with regulations
|
| gptkbp:features |
encryption at rest
automated compliance checks user behavior analytics access control mechanisms end-to-end encryption security orchestration continuous monitoring threat intelligence integration |
| https://www.w3.org/2000/01/rdf-schema#label |
IBM Z security architecture
|
| gptkbp:impact |
AI-driven analytics
|
| gptkbp:includes |
security assessments
security policies data masking security training programs hardware security modules network security controls vulnerability management tools |
| gptkbp:integratesWith |
cloud services
|
| gptkbp:is_designed_to |
high availability
enhance operational efficiency protect sensitive data reduce operational risks enhance user trust ensure business continuity mitigate cyber threats protect against insider threats |
| gptkbp:is_part_of |
gptkb:IBM_Z_platform
gptkb:IBM_Cloud_Pak_for_Security gptkb:IBM_Z_security_portfolio gptkb:IBM_Z_ecosystem |
| gptkbp:is_used_in |
financial institutions
telecommunications big data processing transaction processing retail companies government sectors healthcare_organizations |
| gptkbp:offers |
real-time threat detection
|
| gptkbp:performance |
enterprise environments
|
| gptkbp:provides |
data loss prevention
audit logging data encryption security monitoring incident response capabilities risk management tools secure application development endpoint security solutions security incident management data classification tools |
| gptkbp:supports |
data integrity
blockchain technology data analytics identity management multi-factor authentication secure data sharing secure APIs mobile security virtualization security secure software supply chain data_sovereignty |
| gptkbp:utilizes |
secure boot
machine learning for security |