Infrastructure for Autonomous Operations
Turn your AI Agents into DevOps engineers.
StratoNext is the control plane across identity, scoped permissions, just-in-time access, and a full audit trail. The agents you already run can do real ops work without ever holding your keys.
Your AI SRE tool found the problem. Now someone has to go fix it.
Keep your AI SRE. Reading code and spotting what's wrong is becoming a commodity, and AI SRE tools are good at it. But the fix is not always a pull request; sometimes it's operational. Someone still has to reach the environment and change something.
50%
the ceiling Google's SRE practice puts on toil. The repetitive production work agents could absorb the moment they can be trusted to act. Google SRE Book
Where you're starting from
Your ops team, extended with AI Agents.
Same team, more coverage. If you don't have an ops team yet, that works too.
AI Agents join the team.
Your engineers decide what agents are allowed to do. Then the agents go do it: alarm triage, maintenance, runbooks, cost checks. Each one gets access to the environment for that task only, and it expires when the task is done. Your team stays in charge and stops doing the boring half of the job.
Your team sets the rules
You decide what agents can touch, in which environments, and what always needs a human to say yes.
Fewer pages at 3am
Alarm triage, routine maintenance, cost reviews, and IAM audits get handled without waking anyone up.
You can see everything
Every action ties back to a specific agent, a rule, and an approval. Nothing happens anonymously.
AI Agents become the ops team.
You don't have to hire an ops team first. StratoNext gives AI Agents the same guardrails a good ops team would insist on: limited permissions, approvals where they matter, access that expires on its own, and a log of everything. Your agents can run real infrastructure from day one.
Guardrails without waiting
The controls an experienced ops team would put in place, ready before you hire your first dedicated ops role.
No keys to leak
Agents never hold keys. Access is issued per task, scoped to one resource, and expires on its own.
Agents to start from
No agents yet either? Start with ours for AWS, GCP, Azure, or on-prem, and swap in your own later.
Unified Ops Context
Give AI Agents the ops knowledge, not the keys.
Credentials alone make an agent dangerous. Context is what makes it competent. StratoNext sits between AI Agents and your environments, shielding the real infrastructure while handing agents a single, structured way to understand and act on your operations.
Abstraction over your tools
A single layer on top of your existing tools, docs, and runbooks. Agents find the right place to connect for any ops task, without you wiring each one by hand.
Environments stay shielded
Agents connect through StratoNext, not directly to your clouds. They never see or hold credentials, the platform brokers every connection for them.
Ops knowledge, built in
Where things live, how they connect, which runbook applies. StratoNext gives AI agents the operational context a new engineer would take months to learn.
$4.99M
the average cost of a data breach in 2026, an all-time high - the reason agents get the ops knowledge, never the keys. IBM Cost of a Data Breach Report 2026
Real work, running in the background.
With context and scoped access in place, agents take on long-running jobs, scheduled operations, and incident response. They execute autonomously inside their boundaries and report back.
What stands between an agent and production.
Six primitives sit between AI agents and your infrastructure. Humans define the boundaries once. Agents operate inside them, every time.
Identity
Every agent has a platform identity. StratoNext knows which agent is asking before it evaluates anything else.
Context
Topology, environments, ownership, and runbooks, supplied to the agent so its request is informed rather than guessed.
Authorization
Not just can this identity act, but should this agent perform this action, on this resource, for this reason, right now.
Just-in-time access
Only the permissions the task requires, only when required, only for as long as required. Then the access disappears.
Execution
Approved operations run against real infrastructure through the platform. Agents act without ever holding your credentials.
Audit and governance
What the agent did, why it did it, and under which policy it acted. Recorded and attributable, not reconstructed later.
Use Cases
What teams do with governed agent access
Four ways teams put StratoNext between production and everyone who needs to reach it.
24/7 Ops team
Give AI Agents scoped, time-boxed production access so incident response, maintenance, and runbooks run around the clock inside boundaries your team defines.
Manage client accounts
Operating a customer's cloud usually means holding their keys. Issue access per task instead, inside the trust boundaries each customer defines.
Capture your team's expertise
An agent with credentials but no context is dangerous. Capture your topology, runbooks, and conventions so agents act with competence, not just permission.
40%+
of agentic AI projects will be canceled by 2027 without clear value and controls. Gartner, 2025
Give AI Agents environment access
Your developers' coding agents can read the repository but not the environment it runs in. Give each agent its own scoped, expiring access so it can inspect the real system instead of asking a human to paste logs at it.
64%
of credentials leaked in 2022 were still valid when retested in 2026. GitGuardian, 2026
Autonomy Policy
You decide how much control to keep.
From fully gated approvals to fully autonomous operations, every team sets their own policy. Change it per environment. No code required.
01
Human gated
Every agent action requires explicit human approval before execution. Nothing happens without a sign-off.
- ✓ All changes reviewed
- ✓ Manual approval
- ✓ Max oversight
02
Supervised
Agents act freely in dev and staging. Production changes are gated. The right balance for most teams.
- ✓ Env-based gates
- ✓ Prod approval only
- ✓ Recommended
03
Autonomous
Agents operate end-to-end within defined policy boundaries. Full audit trail, zero manual steps.
- ✓ Policy-driven
- ✓ Full audit trail
- ✓ Max velocity
Safe by Design: Readers vs Writers
Most agents operate in read-only mode by default. Write access is isolated, controlled, and granted only when needed.
Give the agents you already run a safe way to reach production.
We're onboarding a small group of cloud teams now. No commitment required.
AI agents, trusted in production.
StratoNext is agent-agnostic. Connect an agent from any framework or vendor - if it speaks A2A it is automatic, otherwise register it once and import its skills.
A2A native
Agents that speak the Agent-to-Agent protocol connect automatically. Fully integrated, auto-started, no configuration.
StratoNext skill
Install one skill and your AI agent gains projects, context, runbooks, and change management. Works in any local agent session.
One-time registration
Register the agent once to give it a platform identity. That identity is what every authorization decision is evaluated against.
Governed from the first action
Your AI agent inherits the same scoped authority, approval gates, and audit trail as everything else on the platform. No exceptions.
No agents yet? Start with our reference ops agents.
We ship a working ops agent for each major provider so you have something to operate with on day one. They run under exactly the same controls as yours, and you can swap them out whenever you're ready.
AWS
ECS, RDS, Lambda, and S3. Alarm triage, cost spikes, remediations.
GCP
GKE, Cloud Run, BigQuery, and Pub/Sub. Latency, quotas, deploy failures.
Azure
AKS, App Service, and Azure SQL. Incident investigation and insights.
Deploy on your terms.
Agents run where your infrastructure is: StratoNext hosted for speed, or private in your own cloud when governance, locality, and isolation matter.
Cloud instance
StratoNext hosted SaaS
Start with the shared control plane and run agents against your own environments through secure integrations.
- ✓ Up and running in minutes
- ✓ Background agents available 24/7
- ✓ Shared web console managed by StratoNext
- ✓ Remote agents for your cloud accounts
- ✓ Standard retention and platform updates
Private deployment
Self-hosted in your cloud
Run the full platform in AWS, GCP, Azure, or your private network with your own model, data, and access policies.
- ✓ Full platform deployment in your cloud
- ✓ Bring your own LLM endpoint
- ✓ Network-isolated execution inside your VPC
- ✓ On-prem and local agent support
- ✓ Custom retention and compliance rules
Use StratoNext with your local agent.
Import the StratoNext skill into any local agent session and the agent you already work with becomes an operator on your project: full project context, assigned tasks, connected tools, and every action executed under scoped access and built-in approvals.
Autodiscover & sync
Connect your cloud. We map it and keep it in sync.
No code scanning, no manual wiring - StratoNext maps your live infrastructure and keeps it in sync.
Learns from what you run, not from your code.
Most tools read your repo and guess. StratoNext connects to your accounts and discovers what's actually deployed - every service, per account, per region, down to real resource IDs, scaling policies, and network config. It builds a semantic graph of your live infrastructure and keeps it current, so agents reason over reality, not an approximation.
Automatic discovery
Discovers topology, service inventory, environment variables, and deployment history from every connected platform, and keeps it in sync.
Full deployment details
Regions, resource IDs, scaling policies, network config, all surfaced in a structured format agents can reason over.
Multi-platform projects
A single project can span AWS, Azure, GCP, and on-prem simultaneously. Agents see the whole picture, not just one cloud.
Amazon AWS 
Google Cloud 
Microsoft Azure Human-led. Agent-operated.
Apply today and we'll reach out within 48 hours to get your team set up. We're working closely with a small group of cloud teams to shape the product.