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Your AI policy, enforced. On every agent.

Signals Corps turns each line of your AI policy into a control that Supply Chain or Runtime enforces on every device.

Runtime

A policy nobody can check is a suggestion.

AI policies say which tools and data are allowed, but nothing on the device stops an agent from doing otherwise.

A typical policy says to use approved tools only, keep customer data out of unapproved services, and get sign-off before an agent changes production. Employees agree to it once. After that, IT can't tell whether any of it holds, and finds out when something goes wrong.

Research from across the industry shows how far policies trail AI use.

38%

of organizations have a formal, comprehensive AI policy, while 25% have none.

ISACA AI Pulse Poll of more than 3,400 digital trust professionals; 90% say employees use AI.

Most companies use AI without a full policy, and fewer can enforce one.

ISACA, May 2026

56%

don't know how long it would take to halt an AI system after a security incident.

Same ISACA poll; 39% don't know whether they have a documented process to shut down or override AI systems.

A policy needs a control that acts while the agent runs.

ISACA, May 2026

Each line of your policy, and what enforces it.

The table maps common lines from AI acceptable use policies to the control that enforces each one.

Your policy saysWhat enforces it
Use approved AI tools onlySupply Chain lists every agent and connector on every device, and blocks the skills and plugins you haven't approved
Don't install skills or extensions from unknown sourcesNew components start unreviewed, and Supply Chain flags any that match a threat rule
Keep customer data out of unapproved servicesRuntime blocks agents sending customer records to destinations you haven't allowed
Never share credentials or API keys with AI toolsRuntime blocks agents reading .env and credential files
Get approval before changing production systemsRuntime holds actions such as terraform destroy until IT & Security teams approve them
Don't send bulk email without sign-offRuntime holds bulk email sends from agents for approval

A policy you can point to, and prove.

Rules

One place for every rule

Trust decisions, Runtime rules, and approvals live in Control Plane, so the policy and its controls stay in step.

Coverage

See where the policy holds

Control Plane shows, for each agent on each device, which rules apply and whether Runtime can observe, ask for approval, or block.

Employees

Explain each block

When an agent is stopped, the employee sees which rule matched, so the policy explains itself at the moment it matters.

Evidence

Show it works

The decision log records each action a rule matched and its outcome, ready for your next audit or board update.

Start with the lines that matter most.

  1. 01 · Supply ChainEnforce the approved list

    Push one package through your device management tool, review what's installed, and block what your policy rules out.

  2. 02 · RuntimeWatch the rest in log mode

    Turn each remaining policy line into a rule and see how often it would fire, while nothing is stopped.

  3. 03 · RuntimeTurn on approvals and blocks

    Enforce the rules that held up in log mode, starting with customer data and production changes.

One policy line, enforced.

Illustrative example

A 450-person company in Germany keeps Claude away from Salesforce during a GDPR review.

This company is fictional. The numbers come from a modelled fleet, not a customer.

Read the example
  • A Salesforce connector found on 23 devices the Claude admin setting didn't cover
  • A Salesforce plugin blocked on all 6 devices that had it
  • 17 hand-added Salesforce MCP servers down to 0 by week 3

Priced per device. Always predictable.

Supply Chain and Runtime are priced per device, alone or together, with free devices on every plan. Your bill depends on how many devices you cover, so heavier agent use doesn't change it, and finance can plan ahead.

Estimate your cost

What buyers ask us.

We don't have an AI policy yet. Can we still start?

Yes. Start with the inventory, then write the policy from what teams actually use. The table above is a good first draft.

Which agents does it work with?

The agents your teams already use, including Claude Code and the Claude desktop app, Codex and ChatGPT, Cursor, Windsurf, and agents built on other frameworks.

Will employees feel watched?

You can tell employees exactly what is collected. Control Plane receives which components are installed and which rule each action matched. Prompts, email content, customer records, usernames, and file paths stay on the device.

Built on these modules.

Before trust

Supply Chain

Find every AI agent on every device. Check every skill it loads.

See which AI agents run on each device and which identities they can reach, check the skills they load, and block what you don't trust.

Explore Supply Chain
While agents act

Runtime

Control risky agent actions. Before they execute.

Stop unsafe agent actions in real time while safe work carries on.

Explore Runtime

Early access

Reduce agent risk without slowing your teams down.

Start reducing agent risk before general release by checking agent components, controlling agent actions, and hunting through your AI security logs. Signals Corps Control Plane opens to early sign ups in the next few weeks, so join the waitlist with your company email.

Get early access