AgentGate
Firewall for AI Agents.
Control what your AI can reach
before your AI reaches it.
A security and policy enforcement layer for autonomous agents, coding agents and machine-operated workloads.
Why AgentGate
AI agents are becoming software operators.
An agent that can act can also reach. Today, agents can:
- Open network connections
- Call APIs
- Access internal systems
- Work with databases
- Run tools and processes
- Handle credentials
- Talk to external services
Machines, ports, IP addresses and users.
The agent workload itself: which program, started how, as which user, in which runtime, opened this connection — and whether it is allowed to.
What AgentGate controls
A control boundary between agents and the systems they reach.
Process Attribution
Tie every network connection back to the process and workload that produced it — its program, entrypoint, user and runtime. One connection, one owner.
Built in the lab
Agent Identity
Know which agent is acting — measured from what is actually running, never from a name the agent gives itself. A copied script or credential is a different workload.
In development
Deterministic Policy
Define exactly what an agent may reach and what it must be denied. The same request gets the same answer, every time: allow, block, challenge, quarantine or rate-limit.
Planned
Network Enforcement
Enforce those decisions at the network boundary — on the agent's host or at a gateway in front of a protected segment.
Planned
Destination Control
Restrict agents to approved services, APIs and domains — including the side doors: encrypted DNS, tunnels, direct IP and proxy escape.
Planned
Evidence & Audit
Record what an agent attempted, what was allowed, what was refused and why — in a tamper-evident record that can be verified independently.
Planned
Stop & Kill Controls
Stop a single agent or all autonomous agent traffic quickly — while keeping the operator's own management channel open.
Planned
Management Visibility
See every agent, what it reached, what was decided and why, from one console — showing only live state, never sample data.
Planned
The idea
Agents should not have unrestricted network authority.
AgentGate places a control boundary between AI agents and the systems they can reach — so an agent gets the access its task needs, and nothing it was not given.
Security architecture
Identity first. Policy second. Behavior third.
AgentGate does not decide trust by guessing whether traffic “looks like AI”. It authorizes the measured workload that opened the connection, applies explicit policy, and uses behavior only as a risk signal — never as a reason to grant access.
Sensor
Observes which process started, what it became, and what it connected to — with dropped events counted, never hidden.
Built in the lab
Workload identity
Measures the running workload and issues a short-lived identity that cannot be copied to another process or host.
In development
Policy engine
Evaluates identity, destination and posture against explicit rules. Unknown workloads are denied where protection applies.
Planned
Gateway
Enforces each decision on the network path, on the host or inline in front of a protected segment.
Planned
Evidence ledger
Keeps an append-only, hash-chained receipt for every decision, which an edit breaks.
Planned
Security model
Default deny. Explicit authority. Verifiable evidence.
AgentGate is designed so an AI agent receives only the network authority its approved task requires.
An agent gets named destinations and actions, not the whole network. An unknown agent on a protected segment fails closed.
Every connection is attributed to the workload that opened it. What cannot be attributed is shown as exactly that — never guessed.
Every allow, refusal, stop and override leaves evidence. An outage is recorded as an outage, not as guilt.
What AgentGate does not claim. It does not detect all AI traffic, and it does not tell AI from humans by inspecting encrypted packets. It controls the workloads it can measure, and refuses what it cannot.
Management visibility
One console for your AI workforce's network authority.
The AgentGate console is designed. It will show only what the running system actually reports — an empty state says “No data yet”, never invented telemetry.
Planned · not available yet
Built for
Anything that runs on its own and reaches the network.
Development status
Where AgentGate is today.
AgentGate is built one phase at a time, and a phase counts as done only when its exit test passes. This is the honest state.
Completed foundation
- Threat model & baselineProtected scope, agent classes, fail-states and service boundaries fixed before any code.
- Endpoint telemetryWhich process started and what it connected to, with lost events counted, never hidden.
- Process-to-socket attributionEvery test connection named with its process, user, program, entrypoint and runtime; no connection filed under two workloads.
In development
- Workload identityShort-lived identity bound to the measured workload; copied identities refused.
Planned
- Injection resistance & service isolation
- Deterministic policy engine
- Local and inline enforcement
- Destination & smuggling controls
- Evidence ledger & emergency stop
- Management console & API
- Behavioral risk & quarantine
- Fail-state, performance & adversarial certification
Secure the agents that build your software.
TAZM builds and governs your AI workforce. AgentGate is being built to protect the environment it works in.