Spanish Financial Sandbox Conclusions
After more than a year of testing inside Spain’s financial sandbox, the official conclusions report from the Spanish Treasury, CNMV, and SEPBLAC has been published. The results confirm that Didit’s NFC + active biometrics technology blocks the most advanced fraud scenarios — including deepfakes and document manipulation — delivering security equivalent to or superior to in-person verification.- Fraud reduced to residual levels — Even sophisticated deepfake and impersonation attacks were blocked
- EBA-compliant — Full alignment with European Banking Authority guidelines on digital onboarding
- Positive regulatory evaluation — Both CNMV and SEPBLAC validated Didit’s approach for financial services
- ICAO-standard NFC verification — Chip-based document reading valid in 150+ countries
E-Commerce Integrations
New plugins to add identity verification directly into your Shopify or WordPress store. Merchants can configure verification preferences, pass custom data, and verify customers without leaving the platform.- Shopify Plugin — Install the Didit app from the Shopify App Store and start verifying customers in minutes
- WordPress Plugin — Drop-in plugin for WordPress and WooCommerce sites with flexible configuration options
Native SDKs
We shipped major SDK updates across all platforms this month.- Native Android SDK — Full-featured Android SDK with document detection, camera capture, video recording, NFC chip reading, phone and email verification, resubmit support, and privacy mode
- Native iOS SDK — Expanded iOS 13+ support, Swift 6 compatibility, and NFC settings navigation when NFC is disabled
- Flutter SDK — New Flutter SDK for cross-platform mobile integration
- React Native SDK — New React Native SDK for cross-platform mobile integration
- SDK v3.2.0 — Translation fixes across 47 languages and improved UI components on all platforms
AI Agent Integration
New MCP server and programmatic APIs that let AI agents run identity verification workflows end to end — create sessions, trigger checks, and read results without a UI. Perfect for building automated onboarding pipelines or integrating verification into your own AI-powered tools.Social Login & Passkeys
Sign in to the Console with GitHub, Google, Apple, or Microsoft. We also added passkey support for passwordless login and SSO enforcement for organizations that require it.Face Search Performance
Major improvements to the face search algorithm — significantly faster and more accurate duplicate detection and blocklist matching, even at scale.Resubmission Flow
Users who fail verification can now resubmit their documents and selfies directly. The Console shows the resubmission status and lets your team review corrected submissions without starting over.Age Verification by Country
Set different age rules per country or state. Configure minimum and maximum age thresholds, and choose what happens when a user falls outside the range — decline automatically or send to manual review.New Document Support
- Mongolia ID — National identity card
- Ontario Photo Card — Canadian provincial photo ID
- Mexico Driver’s Licenses — Multiple states supported
- Germany Driver’s License — Added to supported documents
- Date of Issue — Now available as a workflow branching condition, so you can route sessions based on how recently a document was issued
Improvements
- AML reports now include richer metadata for deeper compliance insights
- Image quality checks run before processing to catch blurry or dark photos early
- Low-balance email notifications so you never run out of credits unexpectedly
- Alphanumeric email verification codes for better security
- Public API endpoints for managing blocklists
- Better image compression for faster uploads on slow connections
- Improved country selector in the Console
- Proof of Address now supports months-since-issue validation
Fixes
- Fixed document side mismatch between front and back captures
- Fixed OCR accuracy for Brazilian documents
- Fixed translation issues across all SDKs
- Fixed various authentication and SSO edge cases