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SAP AI Governance, Security and Compliance Training
Role Play
New
13 students
SAP AI Governance, Security and Compliance Training
Master SAP AI governance with security, compliance, risk management, and enterprise AI controls.
Created byAlok Kumar
Last updated 8/2026
English
English
What you'll learn
- Understand enterprise AI governance principles for SAP AI solutions.
- Learn governance layers across models, prompts, data, applications, and operations.
- Define stakeholder roles for AI governance and decision making.
- Design enterprise AI policies for experimentation and production.
- Build governance blueprints for SAP AI implementations.
- Configure role-based access and workspace governance controls.
- Implement model access restrictions and centralized governance.
- Apply identity, authentication, and secure API access practices.
- Protect sensitive business data using masking and redaction techniques.
- Design secure integration patterns for SAP AI services.
- Apply responsible AI principles including fairness and transparency.
- Identify and mitigate AI risks across HR, Finance, and Procurement.
- Prevent prompt injection and unsafe AI output scenarios.
- Design human-in-the-loop approval and escalation workflows.
- Monitor AI runtime behavior, logs, failures, and policy events.
- Manage AI lifecycle governance, versioning, and change control.
- Build audit trails and evidence for enterprise AI compliance.
- Map business policies to SAP AI technical governance controls.
- Create department-specific governance playbooks for SAP AI.
- Design an end-to-end SAP AI governance architecture from policy to production.
Explore related topics
Course content
13 sections • 12 lectures • 3h 58m total length
Requirements
- Basic understanding of SAP business applications is helpful.
- Familiarity with AI concepts is beneficial but not mandatory.
- Basic knowledge of enterprise security concepts is useful.
- No prior SAP AI governance experience is required.
- Basic understanding of business processes is recommended.
- Familiarity with cloud platforms is an advantage.
- Interest in AI governance, security, and compliance.
- Basic computer and internet navigation skills.
- Knowledge of access control concepts is helpful.
- Willingness to work on governance and security scenarios.
- Access to SAP BTP or SAP AI environments is beneficial.
- Motivation to build secure enterprise AI solutions.
- Suitable for technical and functional professionals.
Description
This course contains the use of artificial intelligence. This course contains the use of artificial intelligence. The SAP AI Governance, Security and Compliance Training course is designed to help SAP professionals, architects, security specialists, compliance teams, and AI leaders establish secure, responsible, and compliant AI solutions across enterprise environments. This practical course provides a comprehensive framework for governing AI throughout its lifecycle, from policy design and access management to runtime monitoring and audit readiness.
The course begins with the foundations of SAP AI governance, introducing governance layers across AI models, prompts, enterprise data, applications, and operational environments. Learners will understand stakeholder responsibilities, governance frameworks, enterprise AI policies, approval workflows, and role-based governance models for SAP AI implementations.
A major focus of the training is on AI security and data privacy, covering OAuth authentication, secure API access, identity management, role-based access control, data masking, confidential information handling, secure prompt design, and enterprise integration security. Participants will learn best practices for protecting sensitive business data while integrating AI into SAP applications.
The course further explores Responsible AI and risk management, including bias mitigation, explainability, prompt injection prevention, human-in-the-loop approvals, confidence thresholds, model restrictions, and AI risk assessment across Finance, HR, Procurement, and Supply Chain scenarios. Learners will develop governance control matrices and operational safeguards for enterprise AI workloads.
Advanced modules cover runtime governance, lifecycle management, compliance mapping, auditability, monitoring, and change management. Through hands-on labs and a comprehensive capstone project, learners will design a complete SAP AI governance architecture that includes security controls, compliance checkpoints, monitoring strategies, approval workflows, audit trails, and production governance.
By the end of this course, learners will be able to design, implement, monitor, and govern enterprise AI solutions using SAP governance, security, and compliance best practices.
Who this course is for:
- SAP architects designing secure AI enterprise solutions.
- SAP AI developers implementing governed AI applications.
- SAP BTP consultants managing enterprise AI deployments.
- Information security professionals securing SAP AI platforms.
- Compliance officers responsible for AI governance programs.
- Risk managers implementing responsible AI controls.
- SAP technical consultants deploying AI-enabled business solutions.
- Enterprise architects designing AI governance frameworks.
- Digital transformation leaders overseeing AI adoption.
- IT governance professionals managing AI compliance initiatives.
- SAP administrators responsible for AI platform security.
- Project managers leading enterprise AI implementation programs.
- Organizations training teams on SAP AI governance practices.
- Professionals preparing for enterprise AI governance roles.
- Anyone implementing secure, compliant SAP AI solutions.