Regula and Bernini.ai Integrate Biometric Identity Verification into AI Customer Agents

Regula and Bernini.ai have integrated document and biometric identity verification into AI-driven customer conversations. By embedding forensic-grade verification into AI agents, the partnership allows financial institutions and retailers to secure high-risk transactions and account servicing within automated workflows, addressing the growing need for continuous identity assurance beyond the initial onboarding phase.

What was announced

The partnership brings Regula’s identity verification technology into Bernini.ai’s DAFNE platform, a system for managing AI agents in Latin America. This integration allows AI agents to trigger identity checks whenever a business rule requires confirmation of a user's identity. The system is designed for transaction-intensive and regulated sectors, specifically banking, insurance, telecommunications, and retail.

The workflow utilizes two primary components: the Regula Document Reader SDK and the Regula Face SDK. When an interaction—such as opening a new account or accessing sensitive account information—requires verification, the DAFNE platform invokes these tools. The Document Reader SDK performs forensic-level analysis, extracting data and cross-checking security features to detect potential fraud or inconsistencies. This data can be further re-verified on a server for enhanced security.

To ensure the person presenting the document is the legitimate owner, the Regula Face SDK performs biometric matching and liveness checks. This process confirms the physical presence of the user in real-time. By embedding these checks into the AI conversation, organizations can apply specific business rules to determine how an interaction should proceed based on the verification results, whether it occurs during initial onboarding or later during a high-risk transaction.

"AI agents are becoming a new channel through which customers open accounts, access information, and request transactions. At the moments that matter, the organization needs reliable evidence of who is in the conversation. Regula provides that evidence through document and biometric verification, while DAFNE determines when a check is required and how the workflow should continue. Together, we are bringing identity verification into AI-powered customer service across the customer lifecycle,"

Henry Patishman, Executive Vice President of Identity Verification Solutions at Regula

The companies involved

Regula is a global developer specializing in identity verification solutions. The company’s technology is built on decades of forensic expertise, moving beyond simple data extraction to provide deep analysis of document security features. Regula’s suite of products, including its Document Reader and Face SDKs, are used to establish trust in digital environments by identifying fraudulent documents and ensuring biometric authenticity.

Bernini.ai is a Latin American provider of AI agents and agent management technology. Its core offering, the DAFNE platform, enables businesses to deploy and manage AI-driven customer interactions. Bernini.ai focuses on creating "trustworthy agent-driven customer journeys" by integrating business rules and identity assurance into automated workflows. The company operates in a region where the demand for secure, automated customer service is rapidly increasing across regulated industries.

While Regula maintains a broad global footprint with extensive experience in forensic document analysis, Bernini.ai provides the specialized AI orchestration layer necessary to deploy these security tools within modern, conversational interfaces. Together, they address the challenge of maintaining security without disrupting the user experience in automated channels.

What FF News has reported before

FF News has closely followed Regula’s efforts to adapt identity verification for the AI era. The publication previously covered the Regula and Bernini.AI Integrate AI Identity Verification into Financial Chatbot Conversations, highlighting the initial steps of this collaboration. Earlier in 2026, a Regula Report revealed that only 64% of banks could reliably distinguish humans from AI agents in identity flows, underscoring the necessity for the forensic-level checks integrated into the DAFNE platform.

Additional coverage includes a Regula Study on how banks and fintechs will verify identities in 2026, as well as the company’s move to simplify privacy compliance through personal data masking across its solution suite.

What this means

This partnership signals a shift in how the industry views identity verification—moving it from a one-time "gatekeeper" at onboarding to a persistent, context-aware layer of the customer journey. As AI agents handle increasingly complex and high-value tasks, the "verify once" model is no longer sufficient for risk management. Competitors in the identity verification space will likely face pressure to move beyond standalone SDKs and toward deeper integration with AI orchestration platforms. The move raises critical questions for the sector regarding the balance between friction and security; specifically, how frequently customers will tolerate biometric re-verification within a single conversational session before the convenience of AI is lost.