### Apache Airflow version

2.7.1

### What happened

After upgrading to 2.7.1 from 2.5.3 we encountered those logs in the scheduler logs:

```[2023-09-11T05:52:34.865+0000] {logging_mixin.py:151} INFO - [2023-09-11T05:52:34.865+0000] {security.py:708} INFO - Not syncing DAG-level permissions for DAG 'DAG:<dag_name>' as access control is unset.```

Since we have multiple DAGs for the same DAG file (>40), and the DAG processor is running on a high period, we have a lot of redundant logs, which creates more unnecessary data to store.

Adding the setting `access_control={}` did not change the logs.

We don't want to manage the access control for each DAG, as we have a high-level approach, but we also don't want these logs.


### What you think should happen instead

Add some settings to allow avoid printing this info logs about sync permissions

### How to reproduce

Airflow Version - 2.7.1
Python - 3.11.5

Create a DAg without setting access_control and watch logs. e.g. `XXX/_data/scheduler/2023-09-11/dag_name.py.log`

### Operating System

Debian GNU/Linux 11 (bullseye)

### Versions of Apache Airflow Providers

_No response_

### Deployment

Docker-Compose

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

"""
        Get all the roles associated with the user.
        :param user: the ab_user in FAB model.
        :return: a list of roles associated with the user.
        """
        if user is None:
            user = g.user
        return user.roles
    def get_readable_dags(self, user) -> Iterable[DagModel]:
        """Gets the DAGs readable by authenticated user."""
        warnings.warn(
            "`get_readable_dags` has been deprecated. Please use `get_readable_dag_ids` instead.",
            RemovedInAirflow3Warning,
            stacklevel=2,
        )
        with warnings.catch_warnings():
            warnings.simplefilter("ignore", RemovedInAirflow3Warning)
            return self.get_accessible_dags([permissions.ACTION_CAN_READ], user)
    def get_editable_dags(self, user) -> Iterable[DagModel]: