AlpacaX

AI agent operations

AI agents can finally operate production—safely

Give AI agents scoped access to your infrastructure. They debug, deploy, and maintain. Alpacon ensures they can't go beyond what you've authorised.

Built for teams putting AI agents into production.

Trusted by security-conscious organisations

  • NSR
  • ETRI

The paradox

The AI agent paradox

AI agents are capable enough to manage infrastructure—but too dangerous without governance.

01

Unchecked execution

AI agents run commands on production servers with no visibility into what they're doing. One wrong rm -rf and your infrastructure is gone.

02

Sandboxes kill value

Restricting AI agents to sandboxes eliminates the production access they need to actually debug, deploy, and maintain. You get safety but lose capability.

03

No audit trail

When an AI agent causes an incident, you can't replay what happened. No session recording, no command log, no way to prove governance to auditors.

48% of security professionals identify agentic AI as the most dangerous attack vector.

The answer

The execution layer for AI agents in production

Layer 1

Unified user & agent identity

One identity layer for humans and AI agents. No SSH key sprawl, no per-agent credentials. Authenticate once, access what you're authorised for.

Layer 2

AI-first CLI / MCP interface

CLI is natural language for AI. Claude and agents understand it intuitively—Alpacon exposes production access through both CLI and MCP.

Layer 3

Scope & real-time execution control

Dynamic permissions define exactly what each agent can execute. Scoped access, real-time command validation, auto-revoked when the session ends.

Layer 4

Streaming audit logging

Commands and sessions land on one timeline you can query, with secrets masked. Controls map to SOC 2, NIST 800-53 and ISO 27001 IDs, so a compliance lead starts from a control matrix instead of building one.

0inbound ports to open on your hosts
3outcomes per agent command: allow, hold, deny
1record per session, whichever interface
5risk bands policy can route on, Info to Critical

In practice

See it in action

From session request to real-time command validation—this is how Alpacon governs AI agent execution.

Agent requests a work session

alpacon.io/demo/sessions
Description:"Fix staging nginx 501"
Reference:PagerDuty #INC-4521
Server:staging-web
Duration:30 min
Access:
Shell File transfer Tunnel
Sudo:
Requested

Use cases

How teams use Alpacon with AI agents

Claude / CursorAlpacon MCP / CLI
PagerDuty alertAlpacon approve
GitHub ActionsAlpacon tokens
execution control layerAlpacon
Scoped read-only access
Auto-fix within bounds
Scoped deploy + audit

Where it sits

Where Alpacon fits

Alpacon owns the execution control layer—the last gate before a command reaches your server.

IdentityOkta / Auth0
PolicyCisco / AGNTCY
Execution controlAlpacon
MonitoringDatadog / CrowdStrike

The math

Without Alpacon, AI agents can't touch production

With Alpacon, they can operate it.

The task
Simulated · try it
Agent with an SSH keyNothing in the way
AgentllmSSH keyreusable · rootYour networkstaging-docker-1root shellKey copied outnothing recorded
key and client secrets copied off your network
Billing is returning 500s on staging. Find out why.

Read the deploy SSH key

The private key is in the agent context now. It can be copied anywhere, and nothing recorded that it was read.

Open a root shell on the payments host

Print every API client and its secret

The key and the client secrets are off your network. Rotating them means finding every copy first, and there is no record of where they went.

A reusable root key and every secret in the database, with no record either happened.
Same agent, via AlpaconMCP or CLIEvery command judged
AgentllmWork sessionscoped · no keyYour networkstaging-docker-1no standing access
held for a human
Billing is returning 500s on staging. Find out why.

Request a work session scoped to one host

Session granted for one host, with an expiry. No key is issued and none is stored.

Print every API client and its secret

Held for a human: dumping client credentials does not serve the session's stated goal of investigating billing 500s.

Waiting on a human approver. Approved or not, the attempt is recorded.

No key to steal, and the verdict and its reasoning are on the record.
A simulation of the same three tasks down two routes. The left route is the ordinary SSH-key practice, not any particular product; on the right the verdicts and the reasoning are Alpacon's own vocabulary.
  • AI agent access

    Scoped production access
  • Privileged operations

    Slack approval in seconds
  • Audit trail

    Every Websh and command-API session recorded
  • Incident response

    AI threat analysis report + session replay
  • Compliance

    One audit record per session, SOC 2 ready
500-server enterprise: $180K/year Alpacon cost. 2 incidents resolved faster = $1.5M saved. Payback in under 2 months.

Security posture

Enterprise-grade security built in

Zero attack surface

Outbound-only architecture. No inbound ports, no VPN infrastructure. Even if an AI agent is compromised, there's nothing to infiltrate.

Session-scoped control

Each session defines what an agent can do: allowed commands, sudo policy, file access, duration. Anything outside scope is denied at execution time.

Runtime risk assessment

Every command and file transfer is scored in real time. High-risk operations are blocked or routed to admin approval—automatically, per session policy.

Complete audit trail

Session recording and one filterable timeline per session, covering every agent action.

AI agent operations

Let AI agents operate your infrastructure

Without production access, your AI agents are just expensive autocomplete.

1Sign up

Create your Alpacon workspace in minutes. Free tier available.

2Connect infrastructure

Install alpamon on your servers to register them with Alpacon.

3Connect agents

Connect via MCP or install the Alpacon CLI and authenticate.

Give your agents a prompt. Alpacon handles the rest.

AI agent operations | Alpacon