Cloud and on-premise infrastructure
What exists and what state it is in, from the platform APIs and management planes you already run.
Works With Your Stack
Govern the Frameworks
You Already Run.
AuthorIOM includes the running-state model, private AI, authority, execution, and verification most teams need. It also connects to the frameworks and tools you already run, without forcing a rip-and-replace.
Built In. Integrates Cleanly.
Use AuthorIOM on its own—or extend the stack you already trust.
Most mid-market teams can start with AuthorIOM’s built-in capabilities. More advanced organizations can connect IaC, ITSM, security, observability, AIOps, and their own AI to the same governed model.
Frameworks That Describe Intent
They define the target. AuthorIOM enforces conformance.
TOGAF & Enterprise Architecture
Does well: Defines a target architecture, principles, and roadmap — the intended shape of the enterprise.
The gap: The blueprint lives in documents and diagrams. Nothing checks that the running environment actually conforms, or flags it when reality drifts away.
AuthorIOM: Holds the target architecture as enforceable intent in the running-state model, continuously compares reality against it, and surfaces drift — so the architecture is a control, not a slide. Why frameworks stay aspirational →
Zero Trust & Security Frameworks
Does well: Defines a target posture — least privilege, segmentation, verify-everything.
The gap: The framework specifies the posture; it does not validate that every change preserves it, and it reacts after the fact.
AuthorIOM: Validates connected change against the declared posture before it executes — non-compliant change is held, not investigated later. See security →
Tools That Drive Change
They make change fast and repeatable. AuthorIOM makes it governed.
Infrastructure as Code
Does well: Declares desired state and makes change repeatable and version-controlled (Terraform, Pulumi, Ansible, and the like).
The gap: IaC declares intent for the resources it manages. It does not know blast radius across everything it does not, who is affected, or whether the change is safe in context.
AuthorIOM: Validates IaC-driven change against the full model before it lands — what it touches, who it affects, what it could break — and confirms running state matches what was declared. It absorbs the IaC you already run into reusable, governed blueprints, so you keep the work you have already done.
CI/CD Pipelines
Does well: Ships change quickly and continuously, with tests and gates on the code path.
The gap: Pipelines gate on tests, not on infrastructure authority. Speed without a governing model just means failing faster, at greater scale.
AuthorIOM: Adds a pre-execution validation step — every deploy passes through the model before it runs, so velocity does not turn into ungoverned change.
Platform Engineering
Does well: Gives developers self-service golden paths and internal platforms to ship without filing tickets.
The gap: Self-service multiplies the number of actors making change. Without governed change, every paved road is also an ungoverned one.
AuthorIOM: Every self-service action passes through the same gate — so the paved roads are governed by default, and developers still move fast.
ITSM & ServiceNow
Does well: Tracks change requests, approvals, and records of what is supposed to exist (CMDB).
The gap: ITSM holds what was recorded, hand-maintained and stale the moment it is written — not the live running state, and it cannot validate change against reality.
AuthorIOM: Provides the running-state model ITSM lacks — validates change against actual running state and feeds back accurate state, instead of a CMDB someone has to keep up by hand. Works alongside your ITSM.
The Pattern
Same gate, every source of change.
However a change originates — an architect’s blueprint, a Terraform apply, a pipeline deploy, a platform self-service action, a service ticket, or an autonomous AI agent — it passes through one governing model before it executes. The frameworks decide what to change. AuthorIOM decides whether that change is allowed to run.
Many sources of change
Humans, IaC, pipelines, platforms, tickets, and AI agents all push change at once.
One authority
Each change is validated against the same running-state model — state, dependencies, ownership, intent, policy.
Governed before execute
What conforms proceeds; what does not is held or flagged — before it runs, not after.
No Rip-and-Replace
Keep your stack. Add the layer it is missing.
AuthorIOM deploys agentless and read-only to start, alongside the tools you already run. You do not swap out your EA practice, your IaC, your pipelines, your platform, or your ITSM — you put a governing model above them so the intent they express actually holds.
Your System of Record
Govern above your CMDB. Make it trustworthy.
A CMDB — ServiceNow chief among them — is a system of record: it describes what exists. AuthorIOM connects that record to a running-state model, governs and executes approved change, and keeps the record current as reality moves — protecting the investment you have already made.
A record, elevated
Your CMDB describes state. AuthorIOM adds the authority layer it never had — connected change validated against the model before it runs.
Drift, solved
Staleness is the chronic CMDB problem. AuthorIOM keeps your CMDB current from the running-state model, so the record you already rely on stops drifting out of reality.
Investment, protected
No rip-and-replace and no rival system of record — AuthorIOM connects with ServiceNow and makes it more valuable, not redundant.
What the Model Reads From
Seven kinds of source, one model.
The model is not authored by hand. It is built from systems that already hold part of the answer, read-only and agentless to start, and reconciled against what is actually running.
Infrastructure as code
Declared intent for the estate. Terraform, and the repositories that hold it.
Device and network configuration
The configuration layer of the devices themselves, at the level they actually run. Ansible and equivalent configuration management.
Version control
What changed, when, and who approved it. Git history as an evidence source, not just a store.
ITSM and CMDB
Ownership, approvals, and the change record. ServiceNow and comparable service-management platforms.
Identity and access
Who is permitted to propose what, so a rule can name an owner rather than a person.
Observability and event intelligence
Continuous signal, which is what keeps the model tied to live state instead of drifting into fiction.
IPAM and addressing
Allocation and boundaries, so a proposed change can be checked against what the address space allows.
These are source categories, not a certified connector matrix. Which specific systems are connected in a given environment is scoped in the working session, and the named examples are illustrative of the category rather than an exhaustive list. The evaluation brief answers the questions technical reviewers ask →
Both Directions
Read from the systems you run. Write governed reality back.
AuthorIOM does not trap its output. It seeds the model from the systems you already run — and, on your terms, writes reconciled reality back into them, so the tools your team lives in stay accurate and governed. The systems you have get better, not replaced.
In — seed the model
- Configuration files and IaC exports
- Spreadsheets and documentation you already keep
- Read-only access to the live environment — data center or cloud
- Your existing CMDB or ServiceNow
Out — governed write-back, opt-in
- ServiceNow — integrated today; AuthorIOM keeps it current, so your ITSM workflows keep working
- IaC into Git — generated Terraform committed to your GitHub, flowing through your existing CI/CD with your reviews and gates
Already standardized on ServiceNow? AuthorIOM governs above it and keeps its CMDB current — so the system of record you have invested in becomes accurate and trusted, not redundant.
Common Questions
Questions we hear a lot.
Does AuthorIOM replace my existing tools like Terraform, CI/CD, or ServiceNow?
No. AuthorIOM includes its own model, AI, authority, and execution capabilities, but it is designed to connect to IaC, pipelines, platforms, ITSM, security, and observability when those systems are already part of your operating environment.
How does AuthorIOM relate to enterprise architecture frameworks like TOGAF?
TOGAF defines a target architecture in documents. AuthorIOM holds that target as enforceable intent in the running-state model, continuously compares reality against it, and surfaces drift — turning the architecture from a static blueprint into an enforced control.
Find the ungoverned change in the stack you already run.
Start with an assessment: where your frameworks and tools express intent — and where nothing enforces it before change executes.