Model Context Protocol (MCP)

Weekly roundup covering edge-focused AI networking, AI platform and agent tooling, cloud partnership moves, and major security advisories for AI and infrastructure.

Aqua Security introduced Aqua Compass, an MCP server in runtime security workflows, and new runtime risk dashboards that recalculate monetary exposure as controls enforce.

SUSE said it integrated MCP with AWS, n8n, Fsas Technologies, Revenium, and Stacklok to connect AI agents with SUSE infrastructure tools.

Netskope says MCP-based agents shift risk to identity and data flows, while many enterprises lack real-time AI governance.

Itential says spec-driven development formalizes network change practices for AI agents, combining SDD governance with MCP connectivity.

Netskope says most organizations lack visibility into AI activity and proposes accountability, MCP-based integration, monitoring, and training.

Distributed infrastructure is outpacing traditional automation, and the post advocates an orchestration layer that connects AIOps insight with policy-driven execution.

Itential says MCP server design should focus on outcomes, curated tools, bounded resources, guardrails, and failure handling for production reliability.

The blog compares AI adoption to early cloud, stressing deterministic execution boundaries and spec-driven intent before agents touch production.

Itential’s blog explains VibeOps as natural-language infrastructure operations using MCP-connected AI agents, with alert triage as a safe starting point.

Itential blog says agentic operations in infrastructure require governance, RBAC, audit trails, and deterministic execution more than model choice.

The post Platform Engineering for AI: Why Platform Teams Are the New Product Teams appeared first on Itential.