Aviatrix AgentGuard: The Containment Platform for AI Agents

What's inside the solution brief:

• Why the machine-to-human identity ratio has reached 144:1 — and why the security industry, built to protect human identities, is structurally unprepared for an attack surface dominated by AI agents, MCP servers, and autonomous workloads

• How AgentGuard's Shadow AI Discovery uses VPC Flow Logs, DNS logs, and Cloud Asset Inventory to surface every AI agent, MCP server, and LLM endpoint in your environment in 15 minutes — including shadow AI your application team doesn't know exists — with no gateway deployed and no code changes

• How AI-aware SmartGroups target ai_agent resource types directly — not IP ranges — so containment policy follows workloads across EKS, Lambda, Azure Functions, Cloud Run, and VMs as they scale, move, or are replaced

• How default-deny Network Enforcement means a compromised agent cannot reach any destination that was not explicitly permitted, making exfiltration, lateral movement, and gateway bypass structurally impossible rather than just detectable

• How zero-trust egress for MCP servers contains each server to only the external APIs it declared — so a compromised GitHub MCP server reaches api.github.com and nothing else, with a full audit trail for compliance and forensics