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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

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S. Suryawanshi

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#software testing Open access Sep 2026

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

AI coding assistants are evolving into agents that can plan, edit repositories, run tools, test software, and prepare deployable changes. Natural-language prompts are useful for expressing intent, but they rarely encode the complete set of enterprise requirements that govern architecture, cybersecurity, reliability, an...

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

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