Ai: Articles & Insights

In most SoD tool evaluations, the deciding question is not the ruleset. It is where the SAP authorization data goes. Field Notes article 1 covers why these extracts raise the question more sharply than most software, how a decade of default-to-SaaS removed the choice from buyers, the five questions buyers actually asked, and the honest costs of running entirely on the customer's hardware.

Role redesign projects typically stretch across months of consultant workshops, spreadsheet gymnastics, and back-and-forth validation cycles. The AI Role Designer collapses this into an iterative conversation: provide a functional blueprint, let AI analyze historical usage, generate a new role concept, run risk analysis, and refine until clean. Then build the roles, whether manually or through AI connected directly to SAP.

Exploiting SAP used to require both system access and years of domain expertise. AI collapses that second requirement. An attacker with a basic SAP login and a language model can now navigate the system, understand authorization structures, and find exploitation paths that previously took specialists weeks to uncover. What does that mean for how you manage access risk?

SaaS GRC tools trade operational convenience for data sovereignty. Your SAP authorization data lives on someone else's servers, analyzed their way, exported in their formats. In the AI era, where agents need raw data and local processing matters more than dashboards, these constraints become deal-breakers. MTC Skopos takes a different approach: your data never leaves your infrastructure.

For years, GRC tools have been designed with complexity that required consultants to operate effectively. AI is changing that equation. Organizations that can feed clean data to AI agents are getting results in minutes that used to take weeks.

The future of SAP security analysis isn't about choosing between specialized tools and AI, it's about using MCP to make specialized tools like Skopos work through AI interfaces.