...review of how financial institutions can begin to take the appropriate steps to prepare for the next generation of financial supervision systems and to take advantage of emerging platforms such as Microsoft’s Office 365.
Millbrook, NY (PRWEB) June 29, 2016
17a-4, llc has released a review of how financial institutions can begin to take the appropriate steps to prepare for the next generation of financial supervision systems and to take advantage of emerging platforms such as Microsoft’s Office 365. The following is a summary of 17a-4’s white paper. 17a-4 has an extensive history handling corporate messaging compliance policies and procedures for regulated clients.
Emerging 3rd generation of Supervisory Systems
FINRA’s Rule 3120 requires ‘supervisory procedures that are reasonably designed … to achieve compliance with applicable securities laws and regulations and FINRA rules’. In a large financial institution, the many different types of content may be divided into categories, each requiring a separate supervisory system. For instance, non-public information such as a corporate acquisition or release of a customer’s credit card information should be stopped by a Data Loss Prevention ("DLP") system before they are sent. Other information may be reviewed afterwards on a system like Veritas’ EnterpriseVault or HP’s Autonomy. A third category requires a sophisticated ‘big data’ analytical engine to find patterns of messaging (such as information barriers) which would not be able to be found with basic key word and phrase review systems.
Understanding these different categories, finding supervisory systems which are able to support all three and developing an implementation plan requires the coordination of the compliance, legal and IT departments. Compounding the challenge is the proliferation of platforms being used to communicate and collaborate including; Cisco Jabber, Bloomberg, SharePoint, HipChat, Symphony, Intralinks, Skype for Business and many others.
Microsoft’s Office 365 is now emerging as a comprehensive platform and includes a Security & Compliance Center where compliance officers can create policies that ensure that no email contains a SSN # pattern or a stock symbol on the firm’s restricted list.
Key words and phrases have long been the main component of supervisory systems but as virtually every financial firm understands, a tremendous amount of time and human resources are wasted reviewing messages which have been flagged for words that may be in an email disclaimer or otherwise flagged as a false positive.
Analytical or natural language processing (“NLP”) engines that ‘understand’ are now emerging in consumer products and will be able to be incorporated into compliance applications. Able to perform an analysis on data by applying text analytics (inflection and patterns within messaging threads and structures), machine learning and relevance/predictive coding capabilities. These processes will help an organization quickly process thousands of email messages, documents, and other kinds of data to find those items that are most likely relevant to a specific case. Both Microsoft’s Equivio (part of Office 365) and IBM’s Watson are able to provide this type of higher level governance that goes beyond keyword filtering.
To read the complete white paper including 17a-4’s list of the types of content within a broker/dealer that should be pre or post reviewed visit 17a-4.com.
17a-4 is a compliance services and software company with a focus on e-messaging and software solutions to meet regulatory and e-Discovery needs of institutional clients. Clients that are required to adhere to SEC, FINRA and CFTC regulations leverage 17a-4’s expertise to ensure their information infrastructure is in compliance. 17a-4’s architecture provides for a single-point in which all e-messaging content may be managed for retention, legal and regulatory holds and e-Discovery productions.
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