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Aviatrix Zero Trust for AI Workloads: Default-Deny AI Governance at the Network Layer
83% of organizations use AI daily, but only 13% have visibility into how workloads connect to LLM providers. Developers call OpenAI, Anthropic, and Bedrock APIs directly while shadow AI grows unchecked.
Aviatrix Zero Trust for AI Workloads extends the Distributed Cloud Firewall with default-deny enforcement at the network layer — the only universal control point that sees all AI traffic. AI WebGroups cover every major LLM provider. SmartGroups tag workloads by identity, not IP. No code changes, no SDK, no TLS decryption. One policy across AWS, Azure, GCP, and OCI. Download the solution brief to learn more.
Explore default-deny network governance for AI workloads, for every cloud.
What's inside the solution brief:
Why AI gateways, detection tools, and application-layer controls have a structural blind spot — and why the network layer is the only enforcement point that sees every LLM call, RAG pipeline, and MCP server communication regardless of how it's routed
How AI WebGroups provide Aviatrix-managed, auto-updated containment boundaries for every major LLM provider, vector database, MCP gateway, and agent framework — so your policies stay current without a ticket when providers rotate IPs or launch new model APIs
How SmartGroups resolve workload identity from Kubernetes pod labels, AWS/Azure/GCP cloud tags, Lambda ARNs, and Bedrock Agent definitions — so containment policy follows the workload, not a fragile IP address
How the Distributed Cloud Firewall enforces default-deny at the VPC boundary where Kubernetes egress actually happens — not at a centralized proxy that containers can bypass
How a financial services firm enforced production-to-Bedrock-only and dev-to-any-approved-LLM with two DCF rules and two SmartGroup tags — containing shadow AI before it reached anything sensitive, with no developer tooling changes
How the same containment architecture stopped The Cascade, the March 2026 Trust Chain attack, at a Fortune Global 500 — zero credentials exfiltrated, four IP addresses, one engineer
How to generate continuous, audit-ready AI egress evidence for EU AI Act compliance — every egress decision attributable to a SmartGroup, WebGroup, and DCF rule, covering LLM apps, RAG pipelines, and agentic workloads equally
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