Hi @Retired_mod,

Can you please elaborate on these or share related documentation?

• Use Access Control Lists (ACLs) or Shared Access Signatures (SAS) to restrict access further.
  Is it possible to use ACLs to control DBFS access?
• Serialize your Keras model (architecture and weights) to a file format that Keras understands (e.g., HDF5 format).
  Any example you can provide?
• When needed, deserialize the model from ADLS and load it into Databricks.
  This would cause the same issue, wouldn't it?
  
  Thank you