Operationalizing Responsible AI in SAP: Data Readiness, Secure Deployment,& Interoperable Governance

Get a practical blueprint for responsible AI across your SAP landscape. We begin with data and compliance readiness - data quality and lineage, consent and PII safeguards, role-based access, and auditability aligned to key regulations. Next, we cover secure AI deployment: reference architectures, identity and secrets management, network isolation, supply-chain assurance, model and prompt security, and continuous monitoring for drift, bias, and misuse. We close with an interoperable AI governance framework - clear roles and policies, approval workflows, model registry and lifecycle, KPIs and reporting, and consistent guardrails across SAP and non SAP services via open standards and APIs. Leave with checklists and templates to accelerate compliant, secure, and scalable AI

• Understand the data and AI governance model for Business AI Platform
• Actionable patterns and techniques in AI Ethics, Security and Compliance
• Explore data protection techniques and agentic guardrails in SAP implementation