Fraud Detection and Cyber Security


Rob Case

Chief Scientist
The MITRE Corporation

DEVOPS Vision in Action

Do you know what DEVOPS is, have you ever heard the term? Why should you care? DEVOPS is a movement that is catalyzing software development and system operations into an agile collaborative fusion of those creating capabilities and those who have to run our data centers. For years agile development has pushed the boundaries of what could be developed fast and tried out quickly with our users, but turning those prototypes into trusted maintainable systems was something few of us really honestly wanted to deal with; it was someone else’s job. DEVOPS was born out of this frustration by many who created innovation and never saw it come into mass use. The key is to create a set of environments where our creative folks can build in a platform that our operational staff trust and can leverage. There are many platforms marketed out there that claim to be flexible, supported, and yet few really allow you to customize for your own mission and the ever changing technologies. So what if you would generate a new development, test and operational system that by definition was secure? What if someone built a system that built other systems in a far more secure way? What if they wanted you to use it as part of a community? Let me show you Symphony in action used for creating new secure analytic cells for healthcare, defense and intelligence activities, and financial analytics.


Robert Case is a 25 year veteran of building analytic systems and serves as a Analytic Chief Scientist at the MITRE Corporation. MITRE is not for profit company that manages and operates federal funded research and development centers for the US government. Robert works across many industries where a public interest problem like the future of intelligent cities, fraud in healthcare, or financial stability of our global economic systems require reliable systems and rapid innovation.

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Timothy Cerino

Data Scientist & Project Manager

Natural Language Processing – The Human Method

Machine Learning methods have established a successful track record in tackling structured data: improving marketing returns, making better forecasts, optimizing staffing and operations – unlocking insights that were previously hidden in data. Natural Language Processing represents the next frontier, holding the potential to derive insights from text and other forms of unstructured data. But will the same approach work? We discuss the factors that have made major NLP projects successful, focusing on an illustrative compliance example. We have found that best outcomes are attainable when technology and human expertise are deployed in equal measure. We discuss how to capture and incorporate subject matter expertise in order to operationalize NLP for maximum impact.


Timothy Cerino is a Data Scientist and Project Manager for KPMG’s Lighthouse Data & Analytics Center of Excellence. In this capacity he develops solutions for clients in the Financial Services Space which leverage advanced analytics, statistical machine learning, natural language processing, and big data architecture. He has delivered solutions for banks, GSEs, and “FinTech” start-ups. Prior to joining KPMG Tim worked in the capital markets as a modeler and client solutions professional. Tim attended Columbia University for an advanced degree in Statistics as well as an MBA and received a BA from Duke University.

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Mark Isbitts

Director of Market Planning, Health Care Payment Protection

Fueling Investigations Of Healthcare Fraud With Insight Into Hidden And Complex Relationships And Social Groups

Health care costs continue to rise, affecting everyone involved — patients, providers, insurance companies and other organizations. While many efforts have been made to control those costs, including the federal government’s health care reform law, the Patient Protection and Affordable Care Act, many observers say efforts haven’t gone far enough in solving one of the top problems in medicine today: health care fraud, waste, and abuse (FWA). The future of FWA detection involves the overlaying of linking analytics to internal and external data sources. This approach helps uncover significant links among individuals, businesses, assets and properties. Coupling this powerful capability with claims, public records, and contributory data unlocks hidden patterns that otherwise could adversely impact an organization’s bottom line, regulatory compliance goals and patient safety. This session will address the importance of looking at providers as people, understanding relationships among providers, patients, and business’ and how linking analytics provides visibility into hidden fraud across provider networks.


Mark Isbitts has over 25 years’ experience working in the healthcare industry, including product management, strategic planning and consulting, marketing and business development. In his current role with LexisNexis Risk Solutions, Mr. Isbitts is responsible for the overall strategic direction of the Health Care group’s Payment Protection solution suite. This primarily involves LexisNexis’ fraud, waste and abuse solutions.

Prior to LexisNexis Risk Solutions, Mr. Isbitts worked at a national leader in healthcare technology where he was responsible for the overall product strategy and direction of the company’s Payment Integrity solution, including the go to market planning, product updates, market intelligence and requirements gathering. Mr. Isbitts focused on how to empower his company’s vast data assets with analytics to create solutions that meet the changing needs of healthcare payers, eventually launching the company’s product that combined advanced analytics with claims data.

Mr. Isbitts also launched a new fraud, waste and abuse detection solution for a leading healthcare technology company, that incorporated predictive analytics with clinical data. The solution’s initial client was one of the country’s largest national healthcare payers, and has, to date, provided a significant return on investment. He has held positions at other health care technology companies in similar product management capacities where he launched several innovative solutions that focused on clinical areas as well as operations. In addition to product management, Mark has also held roles in strategic planning, marketing and management consulting across both the payer and provider healthcare markets.

Mr. Isbitts received his Bachelor’s of Science in History from the University of Michigan and a Master’s in Healthcare Administration from Mercer University.

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Brian Murrow


Co-Presenter with Timothy Cerino
Natural Language Processing – The Human Element



Brian has nearly 25 years of experience as a management, analytics, and technology consultant and consulting practice leader, with an emphasis delivering big data and advanced analytics consulting solutions, as it relates to the financial services sector and the financial regulators. Brian specializes in evaluating, developing, and implementing financial, risk management, regulatory compliance reporting, analytics, and big data systems. Brian’s clients include both large-scale financial institutions and the financial regulators.

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Jake Skoniecki

Chief Technology Officer
Deloitte & Touche, LLP

Cyber Analytics:  The Security Silver Bullet?


Jakub has over 15 years of experience in technology leadership roles including new product development and product launches, global deployments and rollouts, and building cyber security programs in large multi-national organizations. In his current role, Jakub manages the product and managed service portfolio for Deloitte’s Vigilant Cyber Risk practice.

Prior to joining Deloitte, Jakub was responsible for product integration strategy at Mandiant (acquired by FireEye) and launched the Threat Analytics Platform, unifying the threat detection and incident response processes by leveraging the best-in-breed tools and creating alignment amongst the point solutions.

Jakub’s primary goal is to make security more accessible to others. Based on industry reports, the average time from infection to resolution can span almost ten months. Leveraging a variety of tools and techniques, Jakub is focused on helping clients to reduce this time and create industry-sustainable security programs.

Earlier in his career at Microsoft and General Electric, Jakub has always had a passion for innovative technology and the application of security to allow for its enterprise use, including a focus on cloud services, embedded systems, and mobile devices. Focusing on making emerging technologies secure is something that follows him to this day.

Jakub is a Certified Information Systems Security Professional (CISSP), and holds numerous additional CompTIA and Microsoft certifications.

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Scott M. Zoldi

Chief Analytics Officer

Fraud Analytics and Big Data Technologies Tackle Cyber Security

Cybersecurity, much like payment card fraud in the early 90s, is now dominated by signature/rules-based methods that are inadequate at stopping breach of organizations by determined Cyber criminals. In this talk, we reflect on the transition that banks made in the early 90s to reduce fraud risk through the use of machine learning technologies and real-time streaming behavioral analytics.  We then contrast fraud and Cybersecurity, with the largest challenge being that Cybersecurity threat is best suited to unsupervised analytic technologies such as self-calibrating models, collaborative profiles, and anomaly detection techniques.  Finally, we will discuss the role of Big Data analytics in today’s fraud and Cybersecurity solutions from a streaming analytics perspective and beyond, as we enter the era of successful applications of machine learning to Cybersecurity defense.


Scott Zoldi is Chief Analytics Officer at FICO responsible for the analytic development of FICO’s product and technology solutions, including the FICO™ Falcon® Fraud Manager product which protects about two thirds of the world’s payment card transactions from fraud.  While at FICO, Scott has been responsible for authoring 63 analytic patents with 35 patents granted and 28 in process.  Scott is actively involved in the development of new analytic products and Big Data analytics applications, many of which leverage new streaming analytic innovations such as adaptive analytics, collaborative profiling, and self-calibrating analytics.  Scott is most recently focused on the applications of streaming self-learning analytics for real-time detection of Cyber Security attack.  Scott serves on two boards of directors including Software San Diego and Cyber Center of Excellence.   Scott received his Ph.D. in theoretical and computational physics from Duke University.