February 2, 2016
Hewlett Packard Enterprise today announced the availability of HPE Investigative Analytics, a new hosted software offering it said enables financial institutions and other highly regulated organizations to identify and analyze risk events, and take action to prevent them.
According to a 2015 Morgan Stanley report, global financial institutions have paid US$260 billion in fines since 2009.
“Regulators are now on high-alert and new compliance guidelines and directives are being imposed on organizations every day,” HPE said in a release. “Failure to meet these regulations can result in significant material damage to the firm, in the form of multi-billion dollar fines and potential criminal prosecution.
“However, meeting compliance requirements and stopping fraud is no small task for today’s global organizations. Financial institutions process billions of transactions and communications daily, producing massive volumes of information that lives in silos throughout the company. Legacy analytics software is incapable of understanding and recognizing irregularities in data that is scattered across multiple data types.”
To help protect organizations from this growing compliance crisis, HPE is introducing technology that it said is “purpose-built to help identify and stop fraudulent and non-compliant behaviour.”
HPE Investigative Analytics is made up of the following:
Software: HPE Digital Safe, HPE Supervisor, HPE IDOL and HPE Vertica automatically detect patterns and anomalies by analyzing both structured (e.g. trading systems, risk systems, pricing systems, directories, HR systems, etc.) and unstructured data (e.g. voice, chat, email).
Curated Data Lake: Enriches information from disparate data sources (i.e. email, IM and voice archives, etc.) as well as structured data from trading, risk, market, and surveillance systems to provide a single view across both structured and unstructured information — regardless of source.
Machine Learning-Based Analytics: Leverages investigative analytic human behaviour models to measure risks and flag potential problems identified by connecting to business and market activity feeds and scores information against these events using a series of Key Risk Indicators (KRIs).
Secure Access with Rationalized Results: Secures, audits and streamlines access to every drop of the data lake while utilizing the capabilities of HPE IDOL and HPE Vertica to synthesize, analyze and produce actionable insights.
Models Human Behaviour to Measure Risk & Raise Alerts: Connects to business and market activity feeds, such as trade alerts, market events, or research publications, and retroactively scores content against these events using a series of Key Risk Indicators (KRIs). HPE Investigative Analytics uses a variety of out-of-the-box or user-defined Key Risk Indicators (KRIs), which vary from a lexical analysis of terms such as mentions of the company near opinions derived from sentiment analysis — “I’m bullish on the bond market” — to more complex language models looking for potentially manipulative language.
“Keeping ahead of unethical and illegal activity is imperative for organizations of all sizes today in order to protect themselves from fines, sanctions and negative publicity that can materially affect shareholder value,” said David Jones, senior vice president and general manager of information management and governance at HPE.