The problem

Who is acting is not the same as whether it should happen.

AI agents now call tools, APIs and systems directly. Identity and access control answer who is acting. They don't answer whether this specific action, at this size and this moment, should happen. Credentials are typically issued once and live longer than the decision behind them, so an agent that is hijacked, confused or simply wrong can do anything its permissions technically allow.

How a decision works

Four steps, every protected action.

01
Request
An action arrives at an enforcement point: Skipr's interfaces, or a gateway, mesh or access product the customer already runs.
02
Ask
The enforcement point asks Runtime Authority for a decision, over the OpenID AuthZEN Authorization API.
03
Evaluate
Policy, the actor's identity and context about the action are evaluated together.
04
Enforce and prove
One of six outcomes is applied, and a signed receipt is written.

Architecture

One authority layer across your systems.

AI models: where requests begin

Skipr sells no models and favours none. It works above whichever models and agents you choose, so switching models never changes who holds authority.

Model-agnostic: Frontier, open weight, in country or your own, the same authority applies.
Proposes, not decides: A model can suggest or attempt an action. Whether it may happen is decided by Skipr.
Portable authority: Policies, grants and evidence stay yours when you change models.

Models propose actions. Skipr decides whether they may happen.

Skipr Helm: where policy is set

The operator-branded interface where policy is set, white-labelled as the partner's own Helm.

Policy: Set the rules that shape authority, in your own terms.
Authority: Grant and withdraw authority for people, machines and AI.
Intervention: Step in live, pause, narrow or revoke while work is running.
Visibility: See what is being asked for, and what was decided.
Evidence: Review the record behind each protected decision.

Services you can provision

Provisioned and branded by the operator, for the operator's enterprise and government customers.

Sovereign access
Governed access for people, devices and systems reaching protected infrastructure, run inside your footprint.
Governed AI agents
Enterprise customers let agents act on real systems inside an enforced envelope, and can withdraw them mid task.
Controlled automation
Automation proposes changes; your control plane authorises, bounds or refuses each one before it lands.
Regulator-ready evidence
Each protected decision is signed where it was made, so a customer can hand a regulator a record designed to verify without you or us.

Skipr Runtime Authority: decides and enforces

Decides and enforces. It determines whether a consequential action may happen, and within what limits.

Bounded: Authority has limits, scope, place, time, not simply yes or no.
Adaptable: When context changes, authority can change with it.
Revocable: Authority can be withdrawn while the run continues, and the next action fails.
Governed execution: The action runs only inside the authority it was given.
Evidence: Each decision is designed to leave a signed record the organisation can verify.

Skipr Runtime Authority: decides and enforces

Decides and enforces. It determines whether a consequential action may happen, and within what limits.

Bounded: Authority has limits, scope, place, time, not simply yes or no.
Adaptable: When context changes, authority can change with it.
Revocable: Authority can be withdrawn while the run continues, and the next action fails.
Governed execution: The action runs only inside the authority it was given.
Evidence: Each decision is designed to leave a signed record the organisation can verify.

IntelConnect: supplies the context

Supplies the context behind decisions. Brings context to each decision, who, what, where, risk and jurisdiction. Intelligence informs; it never grants authority by itself.

Knowledge engine: Established facts the decision can rely on.
Live context: Signals about the actor, the action and the moment it is requested.
Risk and jurisdiction: Inputs that shape how much authority is appropriate, and where.

Execute · Execution interfaces for people and devices, agents, and data.

Your systems: where actions land

The systems AI and automation act on. Skipr is designed to work with the stack you already run, it adds authority, it doesn't replace it.

Networks: Routing and configuration changes.
Cloud: Provisioning and scaling resources.
Edge: Actions on distributed sites and devices.
Applications: Transactions and workflow steps.
Workloads: Service-to-service calls.
Data: Reading, moving and using sensitive records.
Critical systems: Changes where a mistake is costly.

How Skipr connects

Integration points the Connects are designed to enforce through.

MCP
Model Context Protocol, agent tool calls.
Agent-to-agent protocols
Delegation between agents.
APIs and gateways
Application and service calls.
Identity providers
People and workload identity.
Workload identity (SPIFFE)
Designed to conform.
Authorization (AuthZEN)
Designed to conform.
Network and infrastructure controllers
Configuration changes.
Data platforms
Reads, moves and use of data.

Tap or select a layer to explore

Skipr Helm sets the policy. Runtime Authority decides and enforces. IntelConnect supplies the context. The Connects carry the action. The evidence environment holds the receipts.

Integration

Works with your existing stack.

Skipr does not ask you to replace IAM, PAM, gateways, meshes, SIEM, agent frameworks or models. Where you already trust an enforcement point, Skipr can provide the authority behind it.

Decisions

One authority. Six outcomes.

Long-running agents usually keep working until their credential expires, even after access has been withdrawn. Skipr treats authority as live: it can be withdrawn while the run continues, and the next action fails.

Allow: The action proceeds under authority bound to this actor, target, arguments and policy version.
Deny: The action does not execute, and the requester holds no path to execute it anyway.
Limit: The action proceeds within a reduced envelope, magnitude, velocity, concurrency, scope, geography, duration.
Escalate: Authority is withheld pending human or quorum approval, with the request, its context and its evidence attached.
Route: The action is redirected to a different path, model, region or approver because of risk, jurisdiction or cost.
Revoke: Withdraw authority already granted, even mid-run; the next action fails.

The envelope

Authority is not a switch. It is eight enforced limits.

Authority is bounded on several dimensions at once. The envelope turns blast radius from a policy sentence into something the enforcement point actually checks.

Value: Maximum consequence per action and in aggregate.
Velocity: Rate of action over a rolling window.
Concurrency: How many actions may be in flight at once.
Scope: Which targets, resources and counterparties are reachable.
Geography: Which jurisdictions the action and its data may touch.
Change proportion: How much of a system's state a single action may alter.
Duration: How long the granted authority remains valid.
Irreversibility: Whether the action can be undone, and what authority irreversibility demands.

The vocabulary is not ours. Value ceilings, allowlists, expiry windows and rate limits are normal language in agent wallets and API gateways. What is not normal is enforcing them as one composed envelope, evaluated at the decision point. Change proportion and irreversibility are the two dimensions genuinely absent elsewhere.

Separation of powers

Six layers, and the separation is the product.

01
Intelligence may propose
Models, agents and people interpret, classify, plan and recommend. They never receive authority simply because they were able to formulate a request.
02
Deterministic knowledge establishes what is true
Structured facts, provenance, relationships and constraints determine which rules apply and which actions are even eligible.
03
Skipr determines authority
Allow, deny, limit, escalate, route or revoke, bound to a verified actor, target, action, arguments, policy version and current state.
04
The enforcement boundary holds the capability
The credential, capability or network path required for protected execution sits here, not with the requester. It is designed so the requester holds no bypass path.
05
An independent safety layer can override everything above it
Revoke, quarantine and safe-state controls that the governed intelligence cannot reach through ordinary runtime authority.
06
A separate evidence layer makes it reconstructable
Who asked, what was known, which policy applied, what authority was issued, what executed, what changed, signed and portable.

Near-term flagship

Intelligent networks under authority.

IntelConnect + SecureConnect

Networks that follow policy, revoke access in flight and start capacity at runtime, each protected action designed to be a Skipr decision: bounded, authorised and sealed.

The operator's control seat

Policy root custody, the evidence view and independent revoke, first delivered inside SecureConnect.

Extending the seat to agents

The same authority applied to AI agents through AgentConnect.

The network proposes. Skipr authorises. Spinning up a server is a consequential action like any other.

Sovereignty and evidence

The roots stay with you. The receipts verify without us.

Sovereignty

The customer or government holds the policy root, the identity root and the keys. Decisions don't depend on reaching Skipr or any foreign control plane. The design goal is that the system keeps deciding while disconnected.

Evidence

Receipts are signed by the component that made the decision and tagged to a jurisdiction. They are stored in an evidence environment separate from the decision system. A regulator or auditor can verify them without Skipr. The plan is to anchor them into accredited trust infrastructure rather than ask anyone to trust our ledger.

McKinsey calls audit and control mechanisms a liability firewall for the organisation deploying AI. The receipt is that firewall, held by you.

Enforcement

Where the decision is enforced.

Policy is authored, signed and evaluated inside the perimeter. No authorization decision requires egress to a Skipr operated service.

Authority layerEnforcement pointEvidence planeCustomer infrastructureExternal system

Requesting actor

Person

operator · employee

AI agent

copilot · autonomous

Application

service · workload

Machine

device · system

request▼

Access / integration point, customer infrastructure

Access fabric

human & machine access

API / tool gateway

API · MCP tool calls

Data access path

query · export · share

authorization request▼

Skipr authority layer, inside your perimeter

Identity

who is requesting

Context

conditions at this moment

Policy

independent rules, per call

Authorization

allow · deny · limit · escalate · route · revoke

Policy is authored, signed and evaluated inside the perimeter. No authorization decision requires egress to a Skipr operated service.

decision▼

Enforcement / execution path

Decision enforced here

the action is held or released

Scope binding

scope · lifetime · target

In-flight control

revoke · throttle · halt

This is the control point: the action does not reach the target system until it is authorized, and it stops here when authority is withdrawn.

authorized action▼

Target system, customer infrastructure

Application

CRM · ERP · billing

API / tool

internal · third party

Data

records · stores

Infrastructure

network · cloud · edge

produced by enforcement▼

Evidence plane, generated in perimeter

Signed record

per decision, per action

Jurisdiction tag

where it was decided

Reconstruction

inputs · policy · outcome

The zones above describe where Skipr sits and where a decision is enforced. Deployment topology, high-availability behaviour and key custody specifics are covered with each customer during the deployment engagement rather than depicted here.

Autonomy

You name the level. We make it true and provable.

This is an enforcement implementation of the TM Forum autonomous-networks maturity model, not a competing scheme. It is used as a procurement instrument: you name the level per action class, and Skipr makes that level true and provable.

1 · Observe: See and report. No action.; Read scope, evidence capture.
2 · Recommend: Propose an action for a human to take.; A proposal is never authority.
3 · Approve: Act only after a named human approves this specific action.; Escalate as a first class decision outcome, with context attached.
4 · Quorum: Act after multiple approvers, or a policy-defined threshold.; Multi-party authorisation and separation of duties.
5 · Bounded: Act alone, inside an enforced envelope.; All eight envelope dimensions, plus expiry and revocation.
6 · Autonomous: Act alone at scale, with authority still bounded and withdrawable.; Continuous authority, safety interlock, in flight revocation.

Standards

Standards we build on rather than reinvent.

Workload identity, delegation, the policy decision interface and autonomy maturity are settled and expected. Differentiating below a standard is how you lose to the standard.

SPIFFE / SPIRE: Workload identity.
OpenID AuthZEN: Decision interface.
Cross App Access: Delegation.
TM Forum autonomy levels: Graduated autonomy.

Boundaries

What Skipr does not replace.

IAM, PAM, SIEM, firewalls, agent frameworks and models keep their jobs. Skipr is the authority layer above them: it decides what consequence may be created, holds the capability until that decision is made, and seals the record. Where you already trust an enforcement point, Skipr is the authority behind it rather than a replacement for it.

What we do not claim

The narrowness is the point.

Each of these would sell faster in the short term. We refuse them permanently, and we state them here rather than in an appendix.

To make a model truthful, aligned, unbiased or incapable of harmful output: We do not believe any vendor can. Our value assumes the model is sometimes wrong, that is the premise, not a caveat.
That deterministic logic is automatically correct: A deterministic decision is wrong if the policy, state or data is wrong. We claim governability, not infallibility.
That rotation or replacement reverses a compromise: Rotation limits persistence on replaceable components. It does not undo exfiltration.
That all infrastructure can be stateless or continuously replaced: Stateful and hardware-bound systems need separate controls.
That cryptography alone creates security: Trust depends on key custody, policy roots, supply chain, enforcement placement, recovery and operations.
To make AI safe by design: We address the narrower, testable problem of bounded authority and governed execution.
To be a model host, an agent platform, a detection engine or a cloud: Each would destroy neutrality, which is the one property a vendor of the governed thing cannot hold.

Deployment

Customer authority checklist.

Six questions resolved during design. The answers define where authority sits.

01Where policy decisions and enforcement run.
02Who holds signing keys and target-access credentials.
03Who can approve operations and change policy.
04Where operational evidence and backups reside.
05What continues when external services are unavailable.
06How updates, support access and recovery are controlled.

Deployment options

Where it can run.

Operator infrastructure
National cloud
Private cloud
Customer data centre
Air gapped / disconnected environments, where supported

Technical architecture detail is shared with qualified buyers under NDA.

The authority layer, explained.