Protect data where it lives.

Subscribe on AWS Marketplace, install the Enigmata Cipher SDK, encrypt every training and inference call without changing your model.

Enigmata Cipher Secure Mode for SageMaker ships as two AWS Marketplace listings (a Processing Algorithm and an Inference Model Package) plus a free Python SDK. Customer-managed AWS KMS holds every key; our network-isolated containers never call out. Encrypted data preserves equality, order, and cosine similarity, so downstream models keep their accuracy. Your plaintext never needs to leave your premises. Run Enigmata Cipher’s signed confidential-VM image on-prem to encrypt your data, and upload only ciphertext to S3. AWS sees ciphertext, never plaintext.

Encrypt at Bronze, query at Gold, train in MLflow, serve at the endpoint, share across workspaces, all under a single customer-managed key.

Enigmata Cipher for Databricks installs from the Databricks Marketplace as a Unity Catalog-registered library. It exposes Enigmata Cipher’s three pillars as PySpark UDFs and SQL functions usable in any notebook, Workflow, Delta Live Tables pipeline, MLflow training run, or Model Serving endpoint. Bind your encryption context to a customer-managed key and the same context flows from raw data ingestion to served model, without ever decrypting in compute. Your plaintext never needs to leave your premises. Run Enigmata Cipher’s signed confidential-VM image on-prem to encrypt your data, and upload only ciphertext to a Unity Catalog Volume. Your Databricks workspace sees ciphertext, never plaintext.

Install a Snowflake Native App, get native SQL functions you can drop into any query, Stream, Task, or Dynamic Table.

Enigmata Cipher for Snowflake ships as a Snowflake Native App from the Marketplace. It exposes Enigmata Cipher’s three pillars as native SQL functions you call inline: in ingestion pipelines, materialized views, Streams + Tasks, Dynamic Tables, even Snowflake Data Sharing. The app runs in Snowpark Container Services inside your Snowflake account, bound to a key held under your Tri-Secret Secure customer-managed HSM root. Encrypted columns stay joinable, sortable, and rankable, so Cortex and analytics keep working. Your plaintext never needs to leave your premises. Run Enigmata Cipher’s signed confidential-VM image on-prem to encrypt your data, and upload only ciphertext to a Snowflake stage. Your Snowflake account sees ciphertext, never plaintext.

Two Azure Marketplace components, one Python SDK. Encrypt every Azure ML pipeline run and online endpoint without changing your model.

Enigmata Cipher Secure Mode for Azure ML ships as two Azure Marketplace components (a pipeline Encryption Component and an Online Endpoint Encryption Deployment) plus a free Python SDK that binds an encryption context to a customer-managed key in Azure Key Vault. Everything runs inside the customer’s Azure Machine Learning workspace, behind a Managed VNet and a Private Endpoint. Encrypted columns preserve equality, order, and cosine similarity, so AutoML, MLflow runs on Azure ML, and Model Registry deployments keep their accuracy. Your plaintext never needs to leave your premises. Run Enigmata Cipher’s signed confidential-VM image on-prem to encrypt your data, and upload only ciphertext to Blob Storage. Azure sees ciphertext, never plaintext.