arXiv:2611.06989v1 Announce Type: new
Abstract: Enterprises run business transactions through multi-agent AI systems spanning clouds, large language models (LLMs), orchestration harnesses, and system...
By Vivek Acharya
arXiv:2608. 09025v1 Announce Type: new Abstract: Financial agents can turn correct context into an unauthorized effect: a customer-facing commitment, trade, or deployed policy.
By Rui Tang, Qiangqiang Liu, Yichi Zhang, Youwei Wang, Xi Chen, Chen Dong
The paper introduces PACE (Policy‑Attested Contract Execution), a framework that sits between large‑language‑model (LLM) based autonomous AI agents and on‑chain DeFi operations. PACE defines typed transaction intents, a deterministic policy verifier, and signed Policy Decision Records (PDRs) that cryptographically bind an approved intent, policy, and simulation report to the exact on‑chain execution bytes, providing replay and expiration protection. In evaluations across 40 tasks and six baselines, PACE achieves zero unsafe executions and zero false positives, outperforming unguarded agents by a large margin.
By Rabimba Karanjai (Larry), Yang Lu (Larry), Richard Williamson (Larry), Hemanth Hm (Larry), Prakhar Mehrotra (Larry), Lei Xu (Larry), Weidong (Larry), Shi
Matoi is a system that separates reusable consequence evidence from current execution authority and durable occurrence history, enabling consumers to reuse only their own validated evidence while keeping signed requests, live grants, quotas, and uncertain outcomes as distinct obligations. Its finite query‑aware contract handles branches, ordered collections, and negative lookups, and it distinguishes locally serialized claims from non‑transactional remote effects. Empirical studies show that reuse reduces lifecycle cost by up to 3.49 % in JavaScript and 1.79 % in Python, and that the system can preserve benign transfers while rejecting reused attack‑plan/policy crosses.
By Zexun Wang
The paper describes the Cosmos LLM Gateway, a policy‑driven, multi‑vendor gateway built on Envoy that manages enterprise LLM traffic at PayPal. It separates latency‑sensitive control decisions into an external service while handling wire‑format translation and token metering in‑proxy via a Rust WebAssembly filter, ensuring minimal overhead. Governance is declarative, managed through Open Policy Agent, and includes features like data‑loss‑prevention, budget scopes, and a control plane for role‑scoped authoring and approvals. The gateway currently serves over 12,000 developers, processes roughly 200 billion tokens per day across 100+ models, and maintains 99.999% availability with only a few milliseconds of added latency.
By Mithun Sasidharan, Srinivasan Manoharan, Rupesh Thakur, Abhinav TK, Ashwin Hegde, Anand Gautam
The paper introduces Zafin AIOS, an orchestration platform that enables AI-assisted software development in regulated finance. It presents an empirical comparison of AI-assisted versus human-led workloads and validates the framework through a Customer Zero case study on two production codebases—pricing execution and client deal negotiation. Results show that governed agentic orchestration boosts enterprise capacity, providing full observability, reducing effort by 38 % in pricing workflows, and cutting reporting work by 76 % in negotiation workflows while preserving data privacy, role-based access, and audit guardrails.
By Shahir Daya, Rob Dunlap, Alexandre Boulenger, Ahmed Abdelmoneim, Salvatore Vella