---
esco_uri: http://data.europa.eu/esco/skill/14d1e367-3efe-4ec5-86ae-eca48710ee4e
esco_label: "implement ICT security policies"
relation: optional
onet_soc: 15-1242.00
source: model-knowledge
confidence: high
qa_count: 0
generator: gemma3:27b (prompt-designed and spot-checked by Claude)
generated: 2026-07-10
---

# implement ICT security policies — Database Administrator

As a Database Administrator (DBA), 'implementing ICT security policies' isn’t about *creating* those policies – it’s about making them real within the database environment. Daily, this means translating high-level rules like ‘all PII must be encrypted at rest and in transit’ into concrete actions: configuring Transparent Data Encryption (TDE) on SQL Server or Oracle, setting up TLS/SSL for connections, defining data masking rules for non-production environments, and ensuring proper key management. It also involves enforcing password complexity requirements via database profiles and regularly auditing user permissions to adhere to least privilege principles.

Typical tasks include configuring database firewalls (often integrated with network firewalls), implementing row-level security to restrict access based on user roles *within* the data itself, and setting up audit trails to track sensitive data access. Tools used are often database-specific – Oracle Audit Vault, SQL Server Dynamic Management Views for auditing, etc. – but also broader tools like vulnerability scanners (which you’ll need to interpret results in a database context). A common pitfall is assuming the network security team handles *everything*; DBAs must understand how policies apply specifically to data storage and access.

A good DBA doesn't just configure security features; they proactively monitor for policy violations. This means regularly reviewing audit logs, running reports on user activity, and responding to alerts from intrusion detection systems. It also involves collaborating with the security team during incident response – being able to quickly identify affected databases, restore from secure backups, and provide forensic data is crucial.  Automating these checks (e.g., scripting permission reviews) significantly improves efficiency.

Ultimately, successful implementation looks like a demonstrably hardened database environment where sensitive data is protected according to policy, access is strictly controlled and auditable, and the DBA can confidently demonstrate compliance during audits or security assessments. It’s about building defense-in-depth *within* the database layer, not just relying on perimeter defenses.

## Weitere Anreicherung

Stage-2 source for future practitioner grounding: arXiv cs.SE (software-engineering preprints).
