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The Network and Security Layer for Agentic AI
AZTM creates an Agentic Zero Trust Mesh that lets your agents and services talk to the data they need, across clouds and networks, with strong identity and no open ports.
Developer Friendly, Enterprise Grade
AZTM delivers a simple developer experience on the surface while providing enterprise-grade security and networking capabilities under the hood. Your agents speak normal protocols while AZTM and AMESH create zero trust virtual connections behind the scenes.
Planner Agent
Orchestrates workflows and coordinates tool agents
Tool Agents
Execute specific tasks and operations
Data Agents
Access and process information from various sources
Agents speak normal protocols. AZTM and AMESH create zero trust virtual connections and decide which agent can reach which backend, and over which path. The connectivity layer seamlessly integrates with LLM APIs, vector databases, internal APIs, and on-premises systems.
What AZTM Actually Does
AZTM is an agent-aware connectivity and security layer. You point your services and agents at AZTM endpoints, and it takes care of getting traffic to the right place, securely and efficiently, across mixed environments.
Connect
Link services, agents, and data stores that live in different clouds, regions, and networks without exposing everything to the public internet.
Protect
Enforce strict identity-based access policies at the application and agent level. You define which principals can talk to which, AZTM ensures that is the only allowed reality.
Isolate and Observe
Segment environments logically and gain full visibility into flows. Every connection has a policy, a reason, and a log entry.

Internals stay deliberately opaque. You get clean APIs, policies, and guarantees, not protocol trivia or low-level mechanics.
Why Teams Need This Now
Agentic AI turns your network into a graph of autonomous calls between agents, tools, APIs, and data. Today, that graph is usually built on fragile networking and weak access control.
The Security Gap
Industry data shows that many organizations that suffer AI-related security incidents did not have AI-specific access controls in place. Security leaders expect AI-driven attacks to become a daily event.
In practice, agents can often reach data and systems they should never see, simply because the network was not built with agent identity in mind.
Architecture Reality
AI systems rarely live in a single cluster or cloud. You have cloud workloads, on-prem systems, SaaS APIs, regulated data stores, and partner networks that all need to work together.
Traditional controls like VPNs, static tunnels, and user-focused ZTNA do not map cleanly to this reality.
Critical Operational and Compliance Gaps
Operational Gaps
Common AI architectures lack a real communication layer for agents. No built-in load balancing, no automatic failover, and very little observability or lifecycle management for agent connectivity.
Compliance Pressure
Regulators and customers expect clear answers about which agents can access which data, and under what conditions. Without a dedicated layer that understands agent identity and policies, it's almost impossible to give a confident answer.
When something breaks, teams end up debugging ad-hoc scripts, framework internals, or cloud networking primitives instead of focusing on the behavior of the agents themselves. AZTM solves these challenges by providing a purpose-built layer for agentic AI connectivity.
Built for Developers First
You should not have to become a network engineer just to connect an agent to a service.
01
Drop-in Endpoints
Point your services and agents to AZTM addresses instead of raw IPs. Your code speaks HTTP, gRPC, or your preferred app protocol. AZTM and AMESH handle the connectivity paths under the hood.
02
Environment Aware
Same code, different environment. AZTM knows if traffic belongs to dev, staging, or prod, and routes only where policies allow.
03
Identity-Based Access
Express intent in config such as orchestrator agent can reach tools in a given namespace. No CIDR math. No spreadsheets of ACLs.
04
Works with Your Frameworks
Use LangChain, LangGraph, CrewAI, Google ADK, A2A, OpenAI Agents SDK, or your own framework. You don't rewrite flows or prompts.
# Minimal example
from aztm import aztm

aztm.init("agent_identity", "<identity_token>")

# Your existing call
response = requests.post("https://internal.api/analyze", data)
You keep your existing call patterns and agent frameworks. AZTM and AMESH provide identity, encryption, and mesh connectivity behind the scenes. Identity tokens can be issued by your existing identity provider such as Okta, Azure AD, Google Identity, or any other IDP you use.
What Teams Use AZTM For
AZTM is for teams that care about both developer speed and security-grade control of connectivity.
Secure Connectivity for Distributed AI Agents
Coordinate planner agents, tool agents, retrievers, and workers across multiple clouds and regions without exposing everything to the public internet.
Link On-Prem Systems with Cloud Apps
Let cloud-native microservices and agents safely talk to databases, queues, and legacy apps inside data centers without a fragile tangle of VPNs.
Multi-Tenant SaaS Isolation
Keep tenant environments logically separate while sharing infrastructure. AZTM routes each tenant's traffic only to its allowed services and data.
Zero Trust for Internal Apps
Replace flat internal networks with explicit service-to-service and agent-to-service policies that follow workloads and identities, not IP ranges.
Field Devices and Edge Locations
Give remote locations and devices a secure way to talk to central services while keeping fine-grained visibility and control.
Private Chat with Your Documents
Run a document agent on your laptop while the orchestrator lives in the cloud. Documents never leave your device.
How It Works at a High Level
AZTM uses an internal technology called AMESH. You never talk to AMESH directly. You work with AZTM policies and endpoints, AMESH handles the hard part behind the scenes.
1
AMESH Creates a Zero Trust Mesh
Instead of exposing networks or opening inbound ports, AMESH builds a mesh of virtual connections between participating locations and workloads. Each connection is authenticated and authorized by identity and policy, not by IP alone.
2
No Open Inbound Firewall Ports
Connectivity is established without asking you to open new inbound ports on internet-facing firewalls. This keeps your attack surface small while still allowing agents and services to reach what they need.
3
Load Aware Routing and Balancing
AMESH maintains multiple possible paths between endpoints and can distribute traffic across them. Paths can be chosen based on health and performance.
4
Fault Tolerance and Automatic Failover
When a link, location, or path becomes unhealthy, AMESH can move traffic to alternate paths inside the mesh. This gives you fault tolerance at the connectivity layer without modifying application code.

AMESH is the engine, AZTM is the product surface. You keep full control of intent and policy, and you don't need to design or understand the underlying mesh.
For Security and Networking Teams
AZTM treats connectivity as a governed resource, not a side effect.
Policy-Driven Control
Application teams request connectivity by describing intents. Security and networking keep the final say through policy review and approval.
Least Privilege Baseline
Services and agents don't talk to each other unless there is an explicit policy that allows it. The default posture is closed.
Full Flow Visibility
Every connection through AZTM is logged with who, what, where, and which policy allowed it. This gives your SIEM and observability stack a clean, structured signal.
Segmentation Without Subnet Surgery
Segment by identity, environment, and policy, not only by VLANs and firewall rules. Adopt AZTM and AMESH without redesigning your physical network.
Policy View Example
  • Allow orchestrator-agent → tools-api (prod)
  • Allow tools-api → internal-billing (prod)
  • Allow analytics-worker → events-store (prod)
  • Deny dev agents → prod databases
Connectivity is explicit, reviewable, and logged. Nothing is implicit anymore, including agent-to-backend access.
Ready to Secure Your Agentic AI Stack
We're inviting a small number of teams building distributed AI systems, multi-cloud or hybrid SaaS, and security-sensitive internal apps.
"We stopped filing firewall tickets for internal services. AZTM became the single place where we define who can talk to what."
— Head of Platform Engineering, fintech, 200+ engineers
"Our security team likes it because nothing is implicit anymore. Every connection has a policy and a log entry."
— CISO, SaaS company
"We wired up a multi-cloud AI stack without building a custom mesh. AZTM handled connectivity so we could focus on the agents."
— Lead ML Engineer, AI startup
About AZTM
AZTM provides secure, policy-driven connectivity for distributed AI agents and modern applications. We empower teams with both developer speed and security-grade control.
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