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Smarsh Unveils New Data Capabilities for Financial Institutions, Enhancing AI-Readiness and Compliance

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Smarsh, a global provider of digital communications compliance and intelligence, has introduced new capabilities designed to enhance financial institutions’ access to and control over their communications data. These advancements aim to consolidate fragmented data into a unified, AI-ready asset for both compliance and business intelligence purposes.

This development addresses a key challenge in the Generative AI landscape: the demand for clean, secure, and accessible data. Smarsh is shifting its approach beyond traditional archiving to offer a flexible platform that enables financial institutions to manage and access their data according to their specific requirements, thereby promoting efficiency and comprehensive risk visibility at scale.

The updated architecture fundamentally changes how data is captured and utilized. By opening its platform with new APIs, Smarsh allows organizations to unify communication sources for a complete view of risk. The Data Acquisition API centralizes the ingestion of custom or proprietary communication data from diverse sources, streamlining integrations and converting data from specialized channels into actionable intelligence.

Financial institutions are also gaining greater control and customization options, enabling them to adapt risk models to unique business needs and integrate external data for improved oversight. The customizable data pipelines include a “Bring Your Own Model” (BYOM) feature, which allows customers to integrate their proprietary models into the Smarsh platform using templates, with seamless access to the no-code Cognition Studio. This empowers compliance and surveillance teams to identify institution-specific risks and customize intelligence while maintaining compliance standards.

Furthermore, the “Bring Your Own Signal” (BYOS) capability permits organizations to ingest external behavioral signals, such as trade surveillance data, information barrier alerts, or system activity logs. These signals can then be analyzed in the context of granular message data, enhancing holistic risk analysis and expanding business reporting capabilities.

These new capabilities are engineered to assist financial institutions in navigating the increasing number of communication channels and evolving regulatory scrutiny by ensuring data quality and flexibility. The innovations establish an AI-ready foundation, bridging the gap between fragmented data and the quality, accessible data essential for successful Generative AI adoption. Smarsh collects and delivers clean, secure, and enriched data specifically designed to power enterprise AI projects.

Enhanced Multilingual Risk Detection is provided via the Smarsh Intelligent Agent, which leverages domain-adapted Large Language Models (LLMs). This patented technology enables global organizations to accurately identify financial misconduct and insider threats across various regions with extensive language coverage and transparency.

Tom Padgett, President of Enterprise Business at Smarsh, stated, “For too long, a unified view of risk has been blocked by closed platforms and siloed systems. We’ve committed to an open platform because the future belongs to organizations that leverage data across their business. We’re giving customers the freedom to be in control and build on their terms. Unlocking the full value of their data provides them a clear competitive edge.”

Smarsh offers cloud-native solutions for capture, retention, and oversight, helping regulated organizations identify risks in their digital communications. Its client base includes major banks in North America, Europe, and Asia, as well as brokerage firms, insurers, registered investment advisors, and U.

S. federal, state, and local government agencies. Smarsh was recognized as a Leader in the 2025 Gartner Magic Quadrant for Digital Communications Governance and Archiving Solutions.

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