Lukasz Szpruch et al.
researchactive

Scalable Runtime Governance for Agentic AI in Financial Services

Lukasz Szpruch et al.

View original resource

Szpruch et al. propose a scalable runtime-governance architecture for agents in financial services, with policy engines, audit trails, and real-time guardrails tied to regulatory obligations. Worked examples cover algorithmic trading and customer-facing agents.

Tags

agentic AIgovernance-frameworks

At a glance

Published

2026

Jurisdiction

International

Category

Governance frameworks

Access

Public access

More in Governance frameworks

Practices for Governing Agentic AI Systems

Yonadav Shavit et al., OpenAI • 2023

Infrastructure for AI Agents

Alan Chan et al., Centre for the Governance of AI • 2025

AI Agents: Governing Autonomy in the Digital Age

Joe Kwon, Center for AI Policy • 2025

Related resources

Practices for governing agentic AI systems: OpenAI's seven safety principles

Governance frameworks • OpenAI

Taxonomy of Failure Mode in Agentic AI Systems

Risk taxonomies • Microsoft

The agentic AI landscape and its conceptual foundations

Foundations • OECD

Build your AI governance program

VerifyWise helps you implement AI governance frameworks, track compliance, and manage risk across your AI systems.

Explore the libraryStart free trial
Scalable Runtime Governance for Agentic AI in Financial Services | VerifyWise AI Governance Library