How do you secure two fundamentally different AI inference paths on the same platform? This blog dissects SAP AI Foundation’s dual-path architecture — RPT-1 for structured predictions vs LLM orchestration for natural language — from identity to audit log, with threat models and controls mapped end-to-end.
SAP AI Foundation on SAP Business Technology Platform (BTP) addresses this by supporting two distinct inference patterns:
Path A: Direct Model Inference via SAP RPT-1 – A table-native transformer designed for deterministic, structured, and tabular predictions.Path B: LLM-Orchestrated Calls – Natural language interactions with 3rd party partner foundation models (such as OpenAI, Anthropic, Google, and Meta) routed through the Generative AI Hub, with managed security guardrails (e.g., masking, filtering, grounding) where enabled.
These paths carry fundamentally different security characteristics—ranging from structured JSON validation to complex prompt injection mitigation—making an end-to-end architectural understanding essential for deploying Business AI at scale.
This blog walks through the complete security architecture from Identity & Access Context at the top to Response Validation and Auditability using the reference diagram below as our guide.
How do you secure two fundamentally different AI inference paths on the same platform? This blog dissects SAP AI Foundation’s dual-path architecture — RPT-1 for structured predictions vs LLM orchestration for natural language — from identity to audit log, with threat models and controls mapped end-to-end.SAP AI Foundation on SAP Business Technology Platform (BTP) addresses this by supporting two distinct inference patterns:Path A: Direct Model Inference via SAP RPT-1 – A table-native transformer designed for deterministic, structured, and tabular predictions.Path B: LLM-Orchestrated Calls – Natural language interactions with 3rd party partner foundation models (such as OpenAI, Anthropic, Google, and Meta) routed through the Generative AI Hub, with managed security guardrails (e.g., masking, filtering, grounding) where enabled.These paths carry fundamentally different security characteristics—ranging from structured JSON validation to complex prompt injection mitigation—making an end-to-end architectural understanding essential for deploying Business AI at scale.This blog walks through the complete security architecture from Identity & Access Context at the top to Response Validation and Auditability using the reference diagram below as our guide. Read More Technology Blog Posts by SAP articles
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