Name
Customer Case Study: Building an AI-Powered SAP Security Analyst Using SAP BTP and AI Agents
Description

Years of mergers, acquisitions and system consolidation had left Giorgi Global Holdings with a complex SAP landscape, thousands of users and growing security debt. Traditional Segregation of Duties (SoD) reviews were taking weeks to complete, making it difficult to identify risks, prioritise remediation and keep pace with governance expectations.

Rather than relying solely on traditional GRC reporting, the team set out to build an AI-powered SAP Security Analyst. Using SAP BTP, SAP Conversational AI and a multi-agent architecture, they developed a solution capable of extracting security data, analysing access risks and generating management-ready insights in minutes rather than weeks.

In this session, Vidyut Kichambare shares how the solution was designed, the architecture behind it and the lessons learned along the way. Discover how AI agents helped uncover previously undetected risks, identify critical users that had escaped traditional reviews and bring greater speed and intelligence to SAP security operations. The session will also explore the organisation's ongoing work with SAP Joule and agent-to-agent scenarios, including what is still being tested and where the approach is heading next.

What You'll Learn

  • How AI agents can accelerate SAP security and SoD reviews at scale
  • A practical approach to building an AI-powered security solution on SAP BTP
  • Lessons learned designing and deploying a multi-agent architecture
  • How to identify and address security debt in complex SAP environments
  • Where SAP Joule, AI agents and autonomous workflows could take SAP security next
Session Type
Customer Case Study