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

S. Suryawanshi

View on Semantic Scholar

2 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.

#software testing Open access Sep 2026

SPEC-DRIVEN DEVELOPMENT FOR ENTERPRISE AGENTIC SOFTWARE ENGINEERING: A GOVERNANCE FRAMEWORK FOR RELIABLE AI-GENERATED SOFTWARE

The Specification Governance and Validation Framework is proposed, a design-science artifact that treats structured specifications as an external control plane for agentic software engineering and provides a reproducible governance model and a basis for future empirical validation of specification-driven enterprise AI...

S. Suryawanshi · 0 citations
Open access Sep 2026

Security Architecture for Agentic AI in Enterprise Cloud Environments: A Zero-Trust Framework for Secure Autonomous Systems

Agentic artificial intelligence expands the enterprise security boundary because autonomous agents can plan tasks, retain memory, invoke tools, call APIs, and initiate business actions. Authentication at session start is therefore insufficient when later actions may be influenced by untrusted content, poisoned memory,...

S. Suryawanshi · 0 citations

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