How to Remediate SAP SoD Violations at Role Level with AI
2026-06-12 · 7 min read
Role-level SoD remediation does not have to mean months of consultant-led spreadsheet work. ATS AI analyzes forbidden pairs, usage data, and role design to suggest minimum-removal splits before audit.
Why role-level remediation fails in spreadsheets
Most SAP SoD programs discover violations at the user level but remediate at the role level. Spreadsheet analysis cannot scale across thousands of composite roles, especially when authorization objects and org values interact in non-obvious ways.
Consultants manually split roles, test in PFCG, and hope the change does not create new conflicts — a cycle that routinely takes 40–60 days before an audit window.
What AI-powered role remediation looks like
AI Tech Secure SOD Role Advisor ingests your rule library, live assignments, and 365-day usage. It proposes role splits that remove the minimum entitlements needed to clear a forbidden pair while preserving business function.
The ATS AI Copilot explains each violation in plain language, drafts remediation narratives for auditors, and routes proposed changes through human approval before any transport is applied.
Simulate before you publish
The simulation engine tests what-if role assignments against your full SoD rule set. Security teams validate remediation plans in the studio — without logging into each SAP system — and export transport-ready role definitions when approved.