The agent-control problem is here now

AI agents can act. Who stops the action that should never happen?

Agents can use employee credentials, call APIs, send messages, change records, move money, deploy code and trigger machines. A bad answer is a software problem. A bad action can become a business, security or physical-world event.

Rogue, compromised or over-permissioned agents do not need to “break out” of a model to cause damage.

They only need a valid-looking path to a tool, credential or system that lets them cause an effect nobody explicitly authorized.

START OPEN CONSOLE See the control gap

START · email · client onboarding. If you already know what Hood product you need, you are routed to the commercial path. If you do not, onboarding routes you to Hood Evaluation.

Current status: HIOP is a functional prototype for evaluation. No public production tenant or production certification is claimed.

The authorization gap

Authentication tells you who signed in. It does not prove an agent was allowed to cause a particular effect, on a particular resource, under current conditions.

01
Identity

Who is acting?

02
Authority

What may it cause?

03
Control

Permit or deny

04
Evidence

What happened?

Inherited permissions
An agent working inside your logged-in apps should not automatically inherit every power you have.
Unauthorized action
Capability, access and a plausible goal are not the same thing as permission.
Missing evidence
After an action, you need a durable answer to who allowed what, why, and what occurred.
The new real-world failure mode

The risk is no longer just hallucination. It is unauthorized execution.

As agents become connected to browsers, enterprise apps, cloud tools, payments, code, robots and infrastructure, one bad instruction can cross from “AI output” into an actual effect. The control question must be answered before the effect happens.

Where can your AI currently cause something it should not be able to cause?

That is the first question Hood onboarding is designed to surface.

Start with your email
Why now

The agent-security problem has moved from model output to enterprise action.

NIST, OWASP and Microsoft all describe agent-specific risks around autonomous action, excessive permissions, prompt injection and machine-speed workflows. The shared problem is simple: once AI is connected to tools, the action boundary matters.

NIST · 2026
Novel agent security threats are slowing adoption
NIST's analysis of industry responses found broad agreement that AI agents introduce security concerns that existing practices must adapt to address.
OWASP
Excessive agency creates damaging action paths
Too much functionality, permission or autonomy can let a malfunctioning or manipulated agent perform consequential actions.
Microsoft
Human-tempo controls can lose to machine-speed action
Prompt injection and over-broad access can allow one manipulated agent to touch multiple connected systems before people can respond.

External references are industry context only; they do not imply endorsement, partnership, certification or product validation.

See the rogue-agent control problem

Make agent control a procurement signal

What if a buyer could require HIOP conformance before an agent enters production?

The proposed HIOP certification program turns authority, permission boundaries, adversarial tests, evidence and change control into a verifiable scope instead of another “enterprise-ready” claim.

Agent conformance
Certify a specific agent/version/configuration against the HIOP Agent Control Profile.
Deployment conformance
Certify the actual operating boundary where credentials, tools and consequential effects exist.
Organization governance
Assess the management system used to approve, monitor and change material agent deployments.
Explore HIOP certificationStart certification intake

Program in development; no accredited public HIOP certificate is currently issued.

Five ways agentic AI goes wrong

A capable agent can become dangerous when authority is implicit.

Hood is built around the boundary between what intelligent systems can figure out and what they are actually allowed to cause.

01 · OVER-PERMISSIONED
The agent inherits a human session
A browser or assistant can reach systems the employee can reach, even when the agent was never separately authorized for the effect.
02 · PROMPT / TOOL COMPROMISE
The goal or route changes
A malicious input, unsafe tool result or compromised dependency can redirect an otherwise legitimate workflow.
03 · CROSS-SYSTEM CHAIN
Small permissions combine
An agent can chain email, CRM, cloud, payments or code tools into a consequence no individual permission was meant to authorize.
04 · PHYSICAL EFFECT
Software becomes motion
In robotics, vehicles, facilities and mission systems, a digital command can become a physical effect that cannot simply be “unanswered.”
05 · NO RECEIPT
Nobody can prove who authorized it
Logs may show that something happened without proving the authority basis, policy decision and observed outcome as one evidence chain.

Intelligence side

Models, agents, data, connectors, browsers, applications, robots and automation propose what could happen.

HIOP
AUTHORITY
BOUNDARY

Consequence side

Money moves. Access changes. Records update. Code deploys. Messages send. Machines act. Mission state changes.

IDENTIFY · VERIFY · REASON · DECIDE · DETERMINE AUTHORITY · DENY/AUTHORIZE · EXECUTE · OBSERVE · PRODUCE EVIDENCE · REMEMBER / RECOVER

What the buyer is protecting

One unauthorized agent action can become an economic consequence.

MONEYPayments, purchases, credits, trading instructions and budget use.
PRODUCTIONDeployments, database changes, cloud resources, configuration and deletion.
DATACustomer records, secrets, intellectual property and regulated information.
ACCESSAccounts, permissions, grants, credentials and privileged actions.
PHYSICAL SYSTEMSRobots, vehicles, facilities, instruments, mission assets and edge devices.
ACCOUNTABILITYWho approved it, what policy allowed it, what executed and what actually happened.
The buying trigger

If your agent can send, spend, deploy, delete, approve or actuate, implicit authority is already too much authority.

START identifies the client, the consequential workflow and whether the right Hood product is already known.

START — GOVERN THE ACTION
Industries

One platform. Many use cases.

HIOP's core authority pattern can be evaluated across these domains. Industry pages describe applications and research directions, not customer deployments or regulatory approval.

AI Agents and Enterprise Robotics Critical Infrastructure Defense & Government Space & Satellites Autonomous Networks Quantum Workloads Energy Data Centers

View All Industries

Bring your systems

Connect your models, agents, applications, data and approved infrastructure.

You do not start over. HIOP is designed to connect to approved models, applications, agents, and infrastructure through scoped integrations.

Explore Integrations View APIs Watch Demo START

Evaluate · Connect · Configure · Validate · License · Deploy · Expand

HIOP Platform

The foundation for governed intelligence.

HIOP evaluates a bounded question before a consequential action: is this actor currently authorized to cause this effect on this resource? It then preserves evidence of the decision and observed outcome.

Identity and Authority
Persistent identities. Fine-grained authority for every effect. Authentication is not authority.
Policy and Governance
Declarative policy, approval, stop control, and separation of duties.
Controlled Action
Consequential actions proceed only when currently authorized, then are observed.
Evidence and Memory
Replayable records of what was permitted, and why.

Learn more

How to Buy Hood

Start with the client. Route the need.

START begins with email and onboarding. Known buyers continue toward the right product and commercial review. Unknown needs branch into Hood Evaluation for recommendation and scope.

1
Start

Enter email.

2
Onboard

Client + problem.

3
Route

Known or unknown need.

4
Configure

Product / scope.

5
Validate

Prove the fit.

6
License

Written terms.

7
Deploy

Approved environment.

START

Hood Intelligence Solutions

When the work cannot be instant.

Government, live operations, industrial physical effects, unusual security. Required approvals. Same primitives — not a disconnected product line.

Industries Partners
Hood Node · BUILDING

Put the authority boundary near the real-world system.

Hood Node is the proposed edge/local enforcement path for Hood OS + HIOP near agents, robots, vehicles, machines, enterprise systems and mission assets. It is designed for environments where cloud-only control is not enough.

Explore Hood NodeSTART

Concept product direction. Hood Node is BUILDING and is not represented as generally available shipping hardware.

Hood Node governed intelligence platform concept visualization
RESTORED CONCEPT VISUAL. Historical mockup. Pricing, hardware specifications, security labels, vendor references and availability shown inside the image are not current public commercial terms or certifications.
Why HIOP?

Read the thesis

Resources

Explore problem pages

Problem pages
Authentication ≠ Authority Which effects may AI produce? Evidence of agent execution

View problem pages

Trust & Security

View trust center

Put an authority boundary between AI and consequence.

Start with your email. Hood onboarding determines whether you already know the product you need or should enter a scoped evaluation.

START
Investor / market map

The AI economy pays for models, cloud, data, agents and automation. Hood targets the authority boundary between intelligence and consequence.

The money loop
Enterprises buy more AI capability · agents propose more consequential actions · authority and evidence become operational infrastructure · controlled adoption can expand · more actions require the same authority layer.
The companies making the money
The investor section preserves the updated market map showing the major layers already monetizing AI and where Hood is positioned without claiming partnerships or shared revenue.

See market opportunity