Leveraging Unstructured Data for AI

A large financial institution sought to leverage AI to analyze and review 
large volumes of unstructured data, such as emails and messages, for 
compliance violations and other business risk. However, they had 
limitations that prohibited them from implementing AI technology at the 
enterprise level. In this case, their AI application was limited to 
processing 20,000 messages per day. Additionally, certain types of 
information needed to be filtered from analysis. 

The financial institution approached ZL Tech for a solution to its big data 
problems, ultimately implementing the ZL platform to unify its data 
management and search capabilities across the enterprise.

ZL Discovery Manager

ZL Tech offers a fundamentally new approach to eDiscovery built on a solid information governance framework. Instead of relying on pre-defined custodians and searching their respective data repositories, ZL Tech enables organizations to search the entire landscape of enterprise unstructured data for relevant findings—before custodians have even been identified.

Embedded Risks in Crypto-themed Exchange Traded Products

For this edition of CRB Monitor’s Chart of the Month we head back to the world of spot cryptocurrency exchange traded products (ETPs) to discuss some of the embedded risks that we have not covered in previous articles. These are related to, specifically, Staking, Airdrops, and Forking.

To those of us that were born during or around the leisure suit era, we believe that these terms might have something to do with camping, or perhaps dinner. But practitioners in the crypto space know these terms well and treat them as “sweeteners” for their crypto investments, as they exist to motivate investors that hold on to (or maybe add to) their crypto investments.

Meet the Intelligent Agent: The AI-Powered Future of Communications Compliance

Delivering higher efficiency and deeper risk insights through AI.⁠⁠⁠⁠⁠⁠⁠

⁠⁠⁠⁠⁠⁠⁠Most communications surveillance programs struggle to balance operational efficiency with detection accuracy. Up to 99% of communications reviewed contain no risk, and over 65% of risks go undetected, resulting in labor costs reaching up to $500 per monitored employee. This is not due to a lack of compliance vision or execution. The issue lies in inadequate technology. Lexicon based systems are simply not sufficient for modern businesses’ needs. Smarsh Intelligent Agent introduces breakthrough AI-powered compliance fully integrated into Smarsh Enterprise Conduct.

2025 Banking Survey: Technology

The 2025 Banking Survey shows banks balancing immediate priorities like security and customer experience with long-term tech modernization, including significant investments in digital channels and GenAI for fraud detection and cybersecurity. Despite challenges in data privacy and quality, banks are increasing their cybersecurity budgets and using ISO 20022 compliance to add value and differentiate their offerings.

2025 Banking Survey: Technology

Insights on technology, innovation, and security in the banking industry

The 2025 Banking Survey shows banks balancing immediate priorities like security and customer experience with long-term tech modernization, including significant investments in digital channels and GenAI for fraud detection and cybersecurity. Despite challenges in data privacy and quality, banks are increasing their cybersecurity budgets and using ISO 20022 compliance to add value and differentiate their offerings. 

Learn what Banks are thinking

Gain next-step knowledge from KPMG action plans by downloading the new 2025 Banking Technology Survey