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SAPinsider Research Webinar – GRC and Risk Intelligence for SAP 2026New 2026 benchmark data reveals SAP GRC budgets rising sharply, identity and access governance becoming the top strategic priority, and a widening gap between technology investment and formal data privacy governance. Join SAPinsider for a look at what's changing — and what it means for your 2027 GRC roadmap.
This year’s benchmark report tells a story of uneven but real progress. Budgets are up, integration has leapt forward, identity and access governance has moved to the center of GRC strategy, and organizations are assessing their own maturity more honestly. At the same time, native SAP GRC tooling adoption remains fragmented, formal data privacy governance is eroding even as technical controls improve, and the risk agenda is shifting toward transformation risk faster than most governance structures are adapting to match it.
Organizations reporting their financial systems as fully integrated with risk and compliance data for real-time insight jumped from this year. Organizations describing their GRC systems as fully integrated enterprise-wide across departments also rose. And the sourcing model itself polarized: fully in-house SAP GRC management increased. Organizations are not drifting toward integration incrementally; they are committing to it. They are also committing more decisively to one sourcing model or the other rather than sitting in the hybrid middle.
Download the benchmark report to read a deeper analysis and receive insight on your own plans.
- Understand how GRC and risk intelligence is being funded in the year ahead.
- Explore the tools and technologies being used for GRC and risk intelligence.
- Learn about the change in data privacy governance structures and understand the importance of that change.
- See what SAPinsiders are doing to pivot risk priorities towards transformation.
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AI Safety Engineering That Puts Quality Ahead of Deployment SpeedA software quality firm rebrands as QualityAI and reframes AI safety as an engineering problem, embedding independent assurance from data sourcing through post-deployment monitoring. The stance has direct implications for SAP customers adding AI to core processes under tightening regulation.
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