Skill UI

Guides teams through implementing the GDPR technical and organizational controls—from data mapping and DPIAs to encryption, access, consent, and breach processes—so compliance and protection scale with deployments.

Implements Mobile Application Management controls like Intune App Protection Policies, selective wipe, app configuration, and DLP to protect corporate data on BYOD Android and iOS devices without full MDM, enforcing data separation and conditional access for enterprise apps.

Documents how to enforce Kubernetes NetworkPolicies using CNI plugins to establish default-deny, service-specific, namespace-aware, egress, and metadata protections, helping teams segment pods for hardened clusters and compliance-driven deployments.

Implements Datadog Cloud SIEM, Cloud Security Management, and Workload Protection to ingest cloud logs, apply detection rules, and automate alerts for hybrid infrastructure threat response.

Performs BLE security audits with Python’s bleak library by scanning nearby devices, enumerating GATT services, checking characteristic protections, and flagging sensitive data exposures so teams understand BLE risks and remediate.

Guides pen testers through hunting for exposed API keys, PII, secrets, and insecure transmissions in web apps by combining targeted scans, response analysis, and TLS checks to validate data protection.

Guides security-first development with defensive input validation, auth handling, data protection, and OWASP prevention steps for any feature touching external data or sessions.

A comprehensive guide for engineers, architects, and DevOps teams on implementing General Data Protection Regulation (GDPR) best practices. This skill covers Privacy by Design, data minimization, purpose limitation, retention policies, secure API design, and compliant logging practices. Use it when handling any personal data, designing new features, or reviewing systems for data privacy compliance.