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#SAPCAP: Win Customer Trust using Data Privacy and Protection Services on BTP - Part 2
Walks through wiring a CAP service to SAP's Personal Data Manager (PDM) on BTP: entity, key and field-level @PersonalData annotations that mark data subjects and personal fields, the @PersonalData.IsPotentiallyPersonal / IsPotentiallySensitive distinction that drives audit logging, and the @Communication.Contact annotation PDM needs to search for a data subject. Covers the xsuaa trust arrangement and service binding that let the standalone PDM application call back into the CAP service to read and manage that data. Second of a three-part series; the annotation model it demonstrates is CAP's own mechanism for data privacy compliance, exercised against a sample 'Game Shop' application.
Where it sits
Explains
Data privacyCAPBTPData privacyDoing what the law requires with personal data — knowing which fields are personal, answering a subject's request about them, and deleting them when the reason for holding them expires.
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reachable
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Ajit_K_Pandaauthor
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Piece, what it offersStill applies
SAP Cloud Integration (CI/CPI) - Reusable Script Collection Pattern for Sensitive Data MaskingSAP Cloud Integration (CI/CPI) - Reusable Script Collection Pattern for Sensitive Data MaskingOpens with the question compliance teams ask about Cloud Integration, whether an integration team based outside Europe with Message Monitoring access can read the personal data in a logged payload, and answers that in most standard configurations it can. The pattern against it is a reusable Groovy script collection plus one global variable holding the masking rules: a script near the start of an iFlow AES-encrypts the original payload into a header or property and replaces values in the body by value pattern first and field-name keyword second, a second script restores the original just before the sender, so a Log Payload step anywhere in the flow captures the masked body while the target system still receives the real data. The post names its own limits, that pattern-based masking is heuristic and that CPI trace can capture the payload before the scripts run, and grounds the pattern in GDPR Articles 5(1)(f), 25, 32 and 44-49, reading the EDPB's Guidelines 05/2021 to mean that access from a country without an EU adequacy decision, uncovered by Standard Contractual Clauses or another valid transfer mechanism, can itself constitute a cross-border transfer.AdarshRao, published 2026-05-25
What Happens to Your Data When You Enable SAP's AI Features?What Happens to Your Data When You Enable SAP's AI Features?Traces where a prompt goes when Joule, the Generative AI Hub or the orchestration service calls a third-party model through SAP AI Core: the prompt and the business context around it travel to a model such as GPT-4o, Claude or Gemini for inference, and masking through SAP Data Privacy Integration is an optional orchestration module rather than a default, so with no masking block in the @sap-ai-sdk/orchestration client config nothing is masked. On the masking options, which the author says he confirmed with SAP AI Core product management, anonymization discards the original value and pseudonymization keeps it reversible; DPI recognizes person names, email addresses and phone numbers, plus custom entities defined by regex, which leaves commercially sensitive non-PII such as a revenue forecast or a project codename to pass through unless someone writes a pattern for it, and whether that data is covered at all is one of three answers the post marks as still pending. The "no training" assurance for third-party providers is read as contractual rather than technical, and models hosted and managed by SAP, Mistral among them, are named as a path other than a US-hyperscaler-hosted one.jaripie, published 2026-04-23
Elevating Data Privacy in SAP CAP based GenAI Applications with CAP LLM PluginElevating Data Privacy in SAP CAP based GenAI Applications with CAP LLM PluginThe question underneath the enthusiasm: what leaves your landscape when a prompt goes to a model. The plugin's answer is to anonymise the sensitive fields through HANA before the prompt is sent, and this is the post that explains why that is the design rather than an option.AkashAmarendra, published 2024-02-02
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- explains → applies_to on capability:data-privacy (cap, btp)Door scope proposed from the title and summary, so a door page lists the piece only where it holds (docs/concepts/content-on-doors.md).
- Entered the atlasDiscovered via SAP Community.
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