Securing AI agents: How AWS and Cisco AI Defense scale MCP and A2A deployments
AWS and Cisco just shipped the security layer enterprises need to actually deploy AI agents at scale.
Why it matters
As AI agents move from POC to production, enterprises face critical visibility and compliance gaps. AWS and Cisco's integrated MCP and A2A security solution directly addresses the infrastructure bottleneck preventing mainstream agent adoption.
The key facts
10 to knowAWS-Cisco partnership targets AI agent deployment scaling
Solution addresses three enterprise pain points: visibility gaps, security bottlenecks, compliance risks
Automated scanning and unified governance capabilities
Supports MCP (Model Context Protocol) and A2A (Agent-to-Agent) architectures
Published May 2026 — recent/production-ready announcement
AWS-Cisco partnership targets three enterprise challenges: visibility gaps, security bottlenecks, compliance risks
Solution uses automated scanning and unified governance framework
Supports MCP (Model Context Protocol) and A2A (Agent-to-Agent) deployment scaling
Published on AWS machine learning blog (official channel, not leaked)
Positions security as table-stakes for enterprise AI agent adoption
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: The Cisco and AWS partnership addresses three challenges enterprises face when scaling AI agents: visibility gaps, security bottlenecks, and compliance risks. In this post, we explore how you can overcome AI security challenges through automated scanning and unified governance.