Building Agentic TPRM: A Guide
With commodity LLMs, the question for TPRM teams is inevitable: “Why not engineer our own custom risk agents?” If TPRM were just about extracting clauses to check a compliance box, the "Build" argument would win. But modern vendor risk is dynamic and technical—it is Risk Engineering. This guide outlines the technical specifications required to move from validating existence to validating reality, architecting a system that doesn't just summarize documents, but actually investigates them.
What this guide covers:
The Orchestration Layer: Why you must build a Distributed State Machine to manage the asynchronous reality of evidence gathering and remediation.
The Context Layer: Architecting a Continuous Context Engine that detects usage drift and updates the vendor’s risk state in real-time.
Adversarial Inference: Engineering a "Red Teaming" logic layer designed to hunt for inconsistencies between high-level policies and technical developer documentation.
Artifact Qualification: Building a research pipeline that distinguishes between aspirational marketing whitepapers and technical ground truth.
Managing Logic Drift: A roadmap for handling regulatory updates, non-deterministic model decay, and the integration treadmill.
The Orchestration Layer: Why you must build a Distributed State Machine to manage the asynchronous reality of evidence gathering and remediation.
The Context Layer: Architecting a Continuous Context Engine that detects usage drift and updates the vendor’s risk state in real-time.
Adversarial Inference: Engineering a "Red Teaming" logic layer designed to hunt for inconsistencies between high-level policies and technical developer documentation.
Artifact Qualification: Building a research pipeline that distinguishes between aspirational marketing whitepapers and technical ground truth.
Managing Logic Drift: A roadmap for handling regulatory updates, non-deterministic model decay, and the integration treadmill.
