Confidencial vs Skyflow

Confidencial protects sensitive information at field, paragraph, or cell level while keeping controls attached to the data. Selective encryption can leave ordinary document content readable while protecting designated fields. Discover scans environments and classifies sensitive fields across more than 40 file types. Shield applies policy-based encryption, tokenization, redaction, deletion, or archiving. AI Guard protects retrieval-augmented generation, fine-tuning, and long-context workflows through sensitive-field tokenization and output filtering. Exchange handles sending, requesting, and signing protected files with access policies, activity tracking, and revocation. Transfers support up to 1 TB per send and more than 40 file types; external recipients can use a limited portal without accounts or installation at no cost. Deployment may be hosted, hybrid, or self-hosted, including cloud, on-premises, and air-gapped environments. Keys remain in the customer’s key-management service, including AWS KMS and Azure Key Vault.

Skyflow is an API-based Data Privacy Vault service for companies that handle financial, healthcare and other personal data. It uses tokenization, encryption and masking to protect sensitive information while keeping it usable. Supported data includes personal, payment, health and other sensitive information in structured and unstructured forms. Access controls can be based on policies, roles or attributes, with tracking and audits. Skyflow Connections handle inbound and outbound flows between a vault and client, backend or third-party services. Listed integrations include Snowflake, Databricks, MongoDB, MuleSoft, Boomi, Salesforce, HubSpot, Stripe, Adyen, Plaid and Yodlee. Deployment options include multi-tenant SaaS, dedicated VPC, Bring Your Own Cloud and hybrid architectures privately connected to on-premises systems. Skyflow lists ISO 27001:2022, SOC 2 Type II and PCI DSS Level 1 certifications, and says it is GDPR compliant and HIPAA assessed and eligible. Pricing is custom and depends on platform fees, data-subject counts, localization regions and feature requirements. A trial is available for exploration, not development; production access follows sandbox development and a security review.