Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Swapneswar Ray

View on Semantic Scholar

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Conference Aug 2026

Governance-Aware Agentic Webhook Orchestration for Reliable Enterprise Event Delivery

Webhook delivery is a routine integration path for enterprise applications, but in production it often behaves less like a callback and more like a distributed execution workflow. A duplicate payment notice, an out-of-order fraud signal, or a partner event replay can create business side effects that ordinary HTTP retr...

Swapneswar Ray · 0 citations
Open access Sep 2026

Runtime Policy Firewall: A Zero-Trust Governance Layer for Enterprise Agentic AI

Enterprise adoption of generative AI is shifting from passive question answering to autonomous agentic execution. Modern agents can decompose goals, retrieve business context, call tools, update records, send messages, initiate transactions, and coordinate workflows across multiple systems. This creates productivity op...

Swapneswar Ray · 0 citations
Review Open access Sep 2026

Policy-Constrained Runtime Defense for Tool-Using AI Agents in Enterprise API Ecosystems

A policy-constrained runtime enforcement framework that intercepts each proposed action before execution and classifies it as allow, deny, or escalate is presented, providing a structured basis for controlled evaluation of policy-constrained runtime enforcement across tool-using enterprise agents.

Swapneswar Ray · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.