TRADITIONAL QUESTION
“Is this identity allowed to scale?”
Identity and permissions remain necessary. They do not evaluate current dependencies, recovery evidence or the exact plan.
AI ACTION FIREWALL FOR PRODUCTION INFRASTRUCTURE
Verified Infrastructure
State Machine
VISM creates a trusted control layer between autonomous AI agents and production infrastructure—validating proposed changes, enforcing boundaries, requiring human approval when necessary, and verifying every resulting state.
A successful API response is not a verified state.
PROPOSALAI AgentSuggests a typed change
CONTROL BOUNDARYVISMInspect · Constrain · Approve · Execute · Verify · Recover
EFFECT PATHProductionCloud · Kubernetes · Databases · Services
THE SHIFT
AI can operate infrastructure. Permission alone is no longer enough.
Traditional controls ask whether an identity may perform an action. AI-operated infrastructure adds a harder question: is this exact change safe under the current state of the system?
VISM QUESTION
“Is this exact transition safe to execute now?”
VISM evaluates the proposed effect against state, policy, dependency constraints, authority and verification requirements.
THE CONTROL LAYER
A decision boundary on the effect path.
Every integrated production change crosses one deterministic control boundary before it reaches infrastructure. Reasoning is advisory; policy and evidence decide what may happen.
01 Inspect02 Constrain03 Approve04 Execute05 Verify06 Recover
PROPOSALAI AgentSuggests a typed change
CONTROL BOUNDARYVISMInspect · Constrain · Approve · Execute · Verify · Recover
EFFECT PATHProductionCloud · Kubernetes · Databases · Services
VERIFIED TRANSITION
A production change becomes a state transition—not just a tool call.
VISM distinguishes desired, observed and verified state. The next stage does not advance when evidence is missing, stale or contradictory.
01Current
02Propose
03Analyze
04Authorize
05Execute
06Verify
07Verified
FAIL / UNKNOWN↓STOP↓Recover with authority
CORE PRIMITIVES
The contracts that bind intent to outcome.
Each primitive is designed to make a change reviewable before execution and explainable after it.
Immutable Checkpoint
A human-attested baseline with recovery evidence. History is preserved rather than silently rewritten.
Signed Change Plan
Approval binds to the exact plan hash, targets, payloads, conditions and recovery branches.
Safe Envelope
A defined intersection of scope, capacity, cost, risk, time and recovery constraints.
Staged Execution
Each step rechecks live conditions, then waits for verification before the next step.
Independent Verification
A separate verifier decides PASS, FAIL or UNKNOWN from defined evidence windows.
Immutable Action History
Intent, authority, effect, evidence and verdict remain traceable in an append-only chain.
SAFE SCALE DEMO
How far can infrastructure safely change right now?
A request to scale from 3 to 1,000 replicas is not automatically safe because scaling is permitted. The smallest real dependency constraint shapes the approved plan.
3Observe
10Verify
50Verify
200Verify
500Recheck
1,000Blocked
LIVE DEPENDENCY CHECKS
- Database capacity 240 ceiling
- Cache and queues
- Network and load balancer
- External API quota
- Cloud quota and cost
- Recovery readiness
Illustrative only: the smallest evidenced constraint bounds the plan. Missing capacity is not treated as infinite capacity.
HUMAN AUTHORITY
Automation without surrendering authority.
Human authority can be bound to the whole signed plan, to a critical step, or delegated in advance only inside a constrained safe envelope.
A DIFFERENT CONTROL QUESTION
VISM complements the tools teams already use.
The comparison is category-level. VISM is designed to control a state transition; it does not claim to replace identity, monitoring, incident response or delivery tooling.
| Control category | Primary question | Control point |
|---|---|---|
| IAM | Who may access a resource? | Identity and permissions |
| Monitoring | What is happening to the system? | Signals and observed state |
| AI SRE | What should an operator investigate or change? | Reasoning and remediation proposals |
| Change management | Who reviewed a proposed change? | Process and approval workflow |
| VISM | Is this exact transition safe to execute now? | Plan, evidence, policy, effect and verification |
TRUST MODEL
AI never becomes root authority.
The model can identify missing evidence and propose a structured plan. It cannot hold production write credentials, edit policy or turn UNKNOWN into PASS.
ADVISORY
Reasoning is advisory.
ENFORCEABLE
Policy is deterministic and fail-closed.
PLAN-BOUND
Approval binds to an exact plan.
INDEPENDENT
Verification is separate from execution.
UNKNOWN STOPS
Missing evidence does not become success.
TECHNICAL PRODUCT BOOK
Documentation for the questions a buyer and operator must ask.
Explore the architecture, state machine, checkpoint and recovery model, safe envelope, execution engine, verification, security and audit chain.
SCENARIO-DRIVEN
Four ways to begin narrowly.
These are design scenarios, not customer implementations or production claims.
01
AI-assisted Kubernetes scaling
Bind a replica change to dependency capacity, staged verification and recovery readiness.
02
AI-generated production deployment
Pin image digest, rollout plan, approval and verification rules before an adapter writes.
03
Controlled incident remediation
Constrain a fast response without turning a workaround into unbounded authority.
04
AI infrastructure governance
Give platform, security and service owners a shared transition record and decision boundary.
VERIFIED CONTROL FOR AI-OPERATED INFRASTRUCTURE