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Security

Enterprise AI needs clear limits before gaining the power to execute.

Connecting an agent to real resources requires separating convenience from authorization. The rule is simple: installing a capability doesn't mean gaining automatic access to the company's data or actions.

Identity

Execution needs to know who or which agent is requesting access.

Permission and scope

Access should be granted per resource and within the scope needed.

Policy and security

Risk and security rules can block or condition execution.

Approval

Sensitive actions may require human confirmation before continuing.

Execution

The action only happens after passing the applicable rules.

Audit

Relevant executions must leave a trail sufficient for investigation and governance.

Emergency brake

One button pauses every AI in the company. The next call is already denied, connections stay intact, owners are notified by email and resuming brings everything back instantly.

Website and form

We also apply data minimization on our own commercial presence.

The diagnosis form only asks for information needed to understand the opportunity and reply to the contact. We do not ask for passwords, tokens, credentials or system access at this stage.

Payload validation and limits
Honeypot and rate limit
IP stored only as a hash
Lead data kept outside the Git repository
See it in practice

A destructive action waiting for approval.

In the "Server out of space" demo, the AI diagnoses the problem and proposes the cleanup, but execution stays blocked until a person in charge approves.

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Next step

Start with one real process in your operation.

No ZP Nexus Pilot Program we choose a process, connect your systems with permissions and auditing, and measure the result. You don't need to replace your ERP, database or infrastructure.

See the interactive demo
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