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Enterprise AI agent security: what to check before enabling one

What to check in enterprise AI agent security: permissions, data, autonomy, audit trails and incidents. Reviewed on August 5, 2026.

The Meteor team Published 4 min read

How do I evaluate an enterprise AI agent's security before connecting it to my data?

Evaluate an AI agent by the work it can execute, the data and credentials it can see, who approves its actions and how an incident can be investigated. Asking a provider whether its AI is secure is not enough. For Meteor, the public, verifiable statements live in its Privacy Policy, Terms and developer documentation: encryption in transit and at rest for sensitive data, access controls, audit records, API keys with granular scopes and an obligation to notify confirmed incidents. The specific scope depends on each customer's configuration, permissions and connected systems.

Security for a Met is not decided by a label. It is decided by the boundary between what it can read, what it can do and what a person must approve. Before connecting a channel, CRM, ERP or payment provider, make that boundary visible and test it with a real case.

NIST proposes managing AI risks continuously through Govern, Map, Measure and Manage. Use them to structure an evaluation, not as a certification. OWASP also warns that prompt injection can alter a model’s behaviour: a useful answer is not proof that it is safe to authorize an action.

The minimum to require in a demonstration

QuestionEvidence to requestWhat Meteor publishes
What can it see and do?Data, tools, operations and credentials for each Met.The developer page describes granular-scope keys and an MCP catalog filtered by scope.
Who administers access?User, key and token creation, removal, rotation and revocation.The Spanish Terms assign user, role, permission management and timely revocation to the customer.
How is data protected?Scope, retention, subprocessors, deletion and incidents.The Spanish Privacy Policy publishes encryption in transit and at rest for sensitive data, access controls, MFA for critical staff, audit and incident response.
Which actions remain human?The approval, escalation and exception point in every flow.Records publish limits. SIESA, for example, queries data but does not create orders, payments or documents.
How is an incident investigated?Owner, notice, evidence and containment.The Spanish Terms publish notice to the customer within 72 hours after confirming a security incident affecting personal data.

The table separates what you must check from what Meteor publishes today. If your case needs a control that is not described, make it an implementation requirement before enabling the action.

Four decisions before enabling a Met

1. Define the task, not only the channel

“Handle WhatsApp” is too broad. Define what the Met can resolve, the data it needs and what it must escalate. A sales Met can qualify and preserve CRM context; price negotiation, an exceptional discount or a contractual condition should reach the person with that authority.

The same applies to operations. If the process uses SIESA, its public scope is querying stock, price, receivables, credit or orders. Do not turn a query into a promise to create an order or record a payment. That boundary is an operational as well as a security decision.

2. Grant minimum permissions and separate credentials

Do not reuse a key that can do more work than the flow needs. Document which identity every connector uses, its scope, who created it, when it is reviewed and how it is revoked. Meteor presents API keys and its MCP catalog with scopes; use them to reduce the surface of the Met that runs the case.

Responsibility is shared. Meteor’s published Terms say the customer administers users, roles, permissions, access revocation for departed staff and permissions granted to integrations. A provider cannot decide which employee should approve an exception.

3. Place approval where harm would be high

Approval should happen before publishing, committing spend, changing a commercial condition, exposing sensitive data or taking an action that is difficult to reverse. Meteor’s marketing Mets prepare content and paid media, but the team approves before publishing or spending. In WhatsApp sales, payment is processed by Mercado Pago, not Meteor or the chat.

Test human takeover too: ask to speak with a person, introduce contradictory data and propose an exception. The test works if the Met hands off the case with context, not only if it responds well when everything is expected.

4. Treat inputs and knowledge as untrusted material

A web page, PDF or customer message can contain instructions that do not belong to the flow. OWASP explains that retrieval techniques do not completely eliminate prompt injection risk. Limit connected sources, review changes, test adversarial messages and keep a person before sensitive actions.

This is neither an accusation against a provider nor a promise of immunity. It is the criterion for not treating persuasive text as authorization for access or execution.

What can be said about Meteor, and what cannot

Meteor’s public documents describe encryption in transit and at rest for sensitive data, role-based and least-privilege access controls, MFA for staff with access to critical systems, audit records and incident response. They also say customer data is not used to train general models without written authorization and that confirmed incidents affecting personal data are communicated under the time frame published in the Terms.

That does not say Meteor is infallible, certified or suitable for every regulation. Its Spanish Privacy Policy says no system is completely secure. For a regulated case, document your legal basis, sensitive data, authorizations and human control too.

Exit list for responsible activation

  1. The use case, channels and tasks the Met can execute.
  2. Data, systems and credentials it accesses, with minimum scope and an owner.
  3. Decisions, spend or writes that require human approval.
  4. Tests for handoff, revocation, contradictory data and adversarial inputs.
  5. Retention, deletion, subprocessors and the incident contact.

If an answer is missing, do not compensate with a longer prompt. Reduce scope until the action can be explained, approved and reviewed.

The limits

What this article does NOT answer

We would rather say it here than leave you hunting for something that is not there.

Keep going

What this article mentions, in detail

The integrations, the Mets and the automations named above, each with its own page.

Cards marked ES open a page published in Spanish.

Where it comes from

Sources

Everything this article claims that we did not measure ourselves, with its origin.

Frequently asked

Questions on this topic

Only the permissions it needs for its task. Ask to see each credential, allowed operation, how it is revoked and who administers it. Meteor documents granular-scope keys and an MCP catalog filtered by the key scope; configure those scopes for the case, not as generic access.

Not by itself. OWASP describes prompt injection as a risk in which an input can alter a model's intended behaviour. Treat instructions, files and external content as inputs to limit and test; do not grant a sensitive action only because a response sounds convincing.

Meteor's published Privacy Policy and Terms say it does not use customer or end-user data to train or improve general-purpose models, its own or third parties', without the customer's written, specific and revocable authorization.

The Met should hand the case to the owner with context when there is negotiation, an exception or judgement. That handoff does not authorize AI to take the decision. Design the flow so a person approves the step that should not be automated.

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