All posts by Crime Tech Solutions (www.crimetechsolutions.com)

Asking data questions

Posted by Douglas Wood, Editor.  http://www.linkedin.com/in/dougwood.
A brief read and good perspective from my friend Chris Westphal of Raytheon. The article is by Anna Forrester of ExecutiveGov.com.
Federal managers should invest in technology that would help them extract insights from data and base their investment decision on the specific problems and information they want to learn and solve, Federal Times reported Friday.
Rutrell Yasin writes that the above managers should follow three steps as they seek to compress the high volume of data their agencies encounter in daily tasks and to derive value from them.
According to Shawn Kingsberry, chief information officer for the Recovery Accountability and Transparency Board, federal managers should first determine the questions they need to ask of data then create a profile for the customer or target audience.
Next, they should locate the data and their sources then correspond with those sources to determine quality of data, the report said. “Managers need to know if the data is in a federal system of records that gives the agency terms of use or is it public data,” writes Yasin.
Finally, they should consider the potential impact of the data, the insights and resulting technology investments on the agency.
Yasin reports that the Recovery Accountability and Transparency Board uses data analytics tools from Microsoft, SAP and SAS and link analysis tools from Palantir Technologies.
According to Chris Westphal, director of analytics technology at Raytheon, organizations should invest in a platform that gathers data from separate sources into a single data repository with analytics tools.
Yasin adds that agencies should also appoint a chief data officer and data scientists or architects to assist the CIO and CISO on these areas.

Perhaps a nice change at NICE Actimize?

Posted by Douglas Wood, Editor.  http://www.linkedin.com/in/dougwood
Though not publicly released, news out of NICE Actimize is that long-time CEO Amir Orad is leaving the company effective May 1. Indicative of the ‘what a small world this is’ nature of the financial crimes technology marketplace, former Pegasystems co-founder and head of Americas for BAE Systems Detica, Joe Friscia, will be taking over the helm at that time.
Mr. Orad led NICE Actimize’s product and strategy functions prior to his five year tenure as CEO. During his tenure, he scaled the business size over six-fold. He is also a founding board member at BillGuard the venture backed personal finance analytics and security mobile app company.
Prior to Actimize, Orad was co-founder and CMO of Cyota a cyber security and payment fraud cloud company protecting over 100 million online users, acquired by RSA Security for $145M. Following the acquisition, he was VP Marketing at RSA.
I’ve known both Amir and Joe for several years, and have a tremendous amount of respect for both gentlemen. While it’s sad to see Amir leave the organization, I know that his rather large shoes will be more than adequately filled by Mr. Friscia.
Joe’s background is well-suited to this new position, and all of us here at FightFinancialCrimes wish him well. Joe joined Detica when BAE Systems acquired Norkom Technologies in early 2011, where he served as General Manager and Executive Vice President of the Americas. Joe led the rapid growth of Norkom in the Americas, with direct responsibility for sales, revenue and profit as well as managing multi-discipline teams based in North America. Prior to Norkom, Joe helped start Pegasystems Inc in 1984, a successful Business Process Management software company that went public in 1996.
Best of luck to Amir in his new ventures, and to Joe as he guides Actimize into it’s next phase.

Part Two: Major Investigation Analytics – Big Data and Smart Data

Posted by Douglas Wood, Editor.
As regular readers of this blog know, I spend a great deal of time writing about the use of technology in the fight against crime – financial and otherwise. In Part One of this series, I overviewed the concept of Major Investigation Analytics and Investigative Case Management.
I also overviewed the major providers of this software technology – Palantir Technologies, Case Closed Software, and Visallo. The latter two recently became strategic partners, in fact.
The major case for major case management (pun intended) was driven home at a recent crime and investigation conference in New York. Full Disclosure: I attended the conference for educational purposes as part of my role at Crime Tech Weekly. Throughout the three day conference, speaker after speaker talked about making sense of data. I think if I’d have heard the term ‘big data’ one more time I’d have gone insane.  Nevertheless, that was the topic du jour as you can imagine, and the 3 V’s of big data – volume, variety, and velocity – remain a front and center topic for the vendor community serving the investigation market.
According to one report, 96% of everything we do in life – personal or at work – generates data. That statement probably best sums up how big ‘big data’ is.  Unfortunately,  there was very little discussion about how big data can help investigate major crimes. There was a lot of talk about analytics, for sure, but there was a noticeable lack of ‘meat on the bone’ when it came to major investigation analytics.
Nobody has ever yelled out “Help, I’ve been attacked. Someone call the big data!”. That’s because big data doesn’t, in and by itself, do anything.  Once you can move ‘big data’ into ‘smart data’, however, you have an opportunity to investigate and adjudicate crime. To me, smart data (in the context of investigations) is a subset of an investigator’s ability to:

  1. Quickly triage a threat (or case) using only those bits of data that are most immediately relevant
  2. Understand the larger scope of the crime through experience and crime analytics, and
  3. Manage that case through intelligence-led analytics and investigative case management, data sharing, link exploration, text analytics, and so on.

Connecting the dots, as they say. From an investigation perspective, however, connecting dots can be daunting. In the children’s game, there is a defined starting point and a set of rules.  We simply need to follow the instructions and the puzzle is solved. Not so in the world of the investigator. The ‘dots’ are not as easy to find. It can be like looking for a needle in a haystack, but the needle is actually broken into pieces and spread across ten haystacks.
Big data brings those haystacks together, but only smart data finds the needles… and therein lies the true value of major investigation analytics.

Major Investigation Analytics – No longer M.I.A. (Part One)

Posted by Douglas Wood, Editor.  http://www.linkedin.com/in/dougwood
Long before the terrorist strikes of 9/11 created a massive demand for risk and investigation technologies, there was the case of Paul Bernardo.
Paul Kenneth Bernardo was suspected of more than a dozen brutal sexual assaults in Scarborough, Canada, within the jurisdiction of the Ontario Provincial Police. As his attacks grew in frequency they also grew in brutality, to the point of several murders. Then just as police were closing in the attacks suddenly stopped. That is when the Ontario police knew they had a problem. Because their suspect was not in jail, they knew he had either died or fled to a location outside their jurisdiction to commit his crimes.
The events following Bernardo’s disappearance in Toronto and his eventual capture in St. Catharines, would ultimately lead to an intense 1995 investigation into police practices throughout the Province of Ontario, Canada. The investigation, headed by the late Justice Archie Campbell, showed glaring weaknesses in investigation management and information sharing between police districts.
Campbell studied the court and police documents for four months and then produced a scathing report that documented systemic jurisdictional turf wars among the police forces in Toronto and the surrounding regions investigating a string of nearly 20 brutal rapes in the Scarborough area of Toronto and the murders of two teenaged girls in the St. Catharines area. He concluded that the investigation “was a mess from beginning to end.”
Campbell went on to conclude that there was an “astounding and dangerous lack of co-operation between police forces” and a litany of errors, miscalculations and disputes. Among the Justice’s findings was a key recommendation that an investigative case management system was needed to:

  1. Record, organize, manage, analyze and follow up all investigative data
  2. Ensure all relevant information sources are applied to the investigation
  3. Recognize at an early stage any linked or associated incidents
  4. “Trigger” alerts to users of commonalities between incidents
  5. Embody an investigative methodology incorporating standardized procedures

Hundreds of vendors aligned to provide this newly mandated technology, and eventually a vendor was tasked with making it real with the Ontario Major Case Management (MCM) program. With that, a major leap in the evolution of investigation analytics had begun. Today, the market leaders include IBM i2, Case Closed Software, Palantir Technologies, and Visallo.
Recently, the Ottawa Citizen newspaper published an indepth article on the Ontario MCM system. I recommend reading it.
Investigation analytics and major case management
The components of major investigation analytics include: Threat Triage, Crime & Fraud Analytics, and Intelligence-Lead Investigative Case Management. Ontario’s MCM is an innovative approach to solving crimes and dealing with complex incidents using these components. All of Ontario’s police services use this major investigation analytics tool to investigate serious crimes – homicides, sexual assaults and abductions. It combines specialized police training and investigation techniques with specialized software systems. The software manages the vast amounts of information involved in investigations of serious crimes.
Major investigation analytics helps solve major cases by:

  1. Providing an efficient way to keep track of, sort and analyze huge amounts of information about a crime:  notes, witness statements, door-to-door leads, names, locations, vehicles and phone numbers are examples of the types of information police collect
  2. Streamlining investigations
  3. Making it possible for police to see connections between cases so they can reduce the risk that serial offenders will avoid being caught
  4. Preventing crime and reducing the number of potential victims by catching offenders sooner.

See Part Two of this series here.

Robbing the Casket, What Happens In Vegas, and Railroad Ripoffs: Selected Financial Crimes Snapshot 12/21/2013

To all of our readers… Have a great Christmas season and see you in 2014!
Posted by Douglas Wood, Editor.  http://www.linkedin.com/in/dougwood
Another case of worker’s compensation premium fraud. You may recall my previous post on this subject. It’s worth reading.
http://manasquan.patch.com/groups/police-and-fire/p/owner-of-wallbased-roofing-company-indicted-for-fraud-and-theft
You’ve heard of robbing the cradle. This is robbing the casket, I suppose…
http://www.13abc.com/story/24279926/funeral-home-owner-charged-with-theft-fraud
He’ll have 8 years to choo choo choose a new way to make a living…
http://newyork.cbslocal.com/2013/12/21/8-years-in-prison-for-former-lirr-conductor-in-fraud-scheme/
What happens in Vegas… Stays in a federal penitentiary.
http://www.lasvegassun.com/news/2013/dec/20/man-gets-11-years-15-million-mortgage-fraud-scheme/

Part 2: Investigating the Investigations – X Marks the Spot

Posted by Douglas Wood, Editor.  http://www.linkedin.com/in/dougwood
Part One of this series is HERE.
Most of the financial crimes investigators I know live in a world where they dream of moving things from their Inbox to their Outbox. Oh, like everyone else, they also dream about winning the lottery, flying without wings, and being naked in public. But in terms of the important roles they perform within both public and private sectors, there is simply Investigating (Inbox) and Adjudication (Outbox). Getting there requires a unique blend of their own capabilities, the availability of data, and the technology that allows them to operate. In the diagram below, ‘X‘ marks the spot where crimes are moved from the Inbox to the Outbox. Without any of those three components, an investigation becomes exponentially more difficult to conclude.
Presentation1
In part one of this article two weeks ago, I wrote about the Investigation Management & Adjudication (IMA) side of financial crimes investigations. I coined that term to call out what is arguably the most integral component of any enterprise fraud management (EFM) ecosystem. The original EFM overview is here.

   “The job is almost unrecognizable to those who once used rotary phones in smoke filled offices…

Twenty years ago, IMA was based primarily upon human eyes. Yes, there were technology tools available such as Wordperfect charts and Lotus 1-2-3 spreadsheets, but ultimately it was the investigator who was tasked with finding interesting connections across an array of data elements including handwritten briefs, telephone bills, lists of suspect information, and discussions with other investigators. The job got done, though. Things moved from the Inbox to the Outbox, arrests were made and prosecutions were successful. Kudos, therefore, to all of the investigators who worked in this environment.
Fast forward to today, and the investigator’s world is dramatically different. The job is the same, of course, but the tools and mass availability of data has made the job almost unrecognizable to those who once used rotary phones in smoke filled offices. Organizations began building enterprise data warehouses designed to provide a single version of the truth. Identity Resolution technology was implemented to help investigators recognize similarities between entities in that data warehouse. And today, powerful new IMA tools are allowing easy ingestion of that data, improved methods for securely sharing across jurisdictions, automated link discovery, non-obvious relationship detection, and interactive visualization tools, and -importantly – packaged e-briefs which can be understood and used by law enforcement, prosecutors, or adjudication experts.

     “Without any of these components, everything risks falling to the outhouse…

With all these new technologies, surely the job of the Investigator is becoming easier? Not so fast.
IMA tools – and other EFM tools – do nothing by themselves. The data – big data – does nothing by itself. It just sits there. The best investigators – without tools or data – are rendered impotent.  Only the combination of skilled, trained investigators using the best IMA tools to analyze the most useful data available results in moving things from the Inbox to the Outbox. Without any of these components… everything eventually risks falling to the Outhouse.
Kudos again, Mr. and Mrs. Investigator. You’ll always be at the heart of every investigation. Here’s hoping you solve for X every day.

Bananas, Politicians and Navy Blue: Selected Financial Crimes Snapshot 01/02/2013

Posted by Douglas Wood, Editor.  http://www.linkedin.com/in/dougwood
Be sure to check out “Investigating the Investigations” Part One and Two! In the meantime, here are this week’s weird headlines:
I can’t believe he tried to slip this one past investigators. Maybe he’ll win on a peel…
http://www.wjla.com/articles/2013/12/maurice-owens-to-appear-in-court-on-metro-banana-peel-fraud-charges-97541.html
A dishonest politician?  Now I’ve heard everything!
http://www.wishtv.com/news/indiana/nw-indiana-politician-to-admit-6-wire-fraud-counts
He couldn’t just wait for Black Friday like everyone else?
http://www.hillsdale.net/article/20131202/NEWS/131209942
Navy blue about this one…
http://www.pbs.org/newshour/bb/military/july-dec13/navy_11-27.html

Investigating the Investigations.

Posted by Douglas Wood, Editor.
A few years ago, I read a book called Fraud Analytics by Delena Spann.  Ms. Spann is with the U.S. Secret Service, Electronic & Financial Crimes Task Force. The book is an overview of investigation analytics with specific information about some former technology leaders in this area.
The IBM i2 toolset is discussed, along with offerings from Raytheon, Centrifuge, and SAS, and FMS’ Link Analytics, and others. (My friend Chris Westphal, formerly of Raytheon Visual Analytics, by the way, published his book ‘Data Mining for Intelligence, Fraud & Criminal Detection’ a few years ago and is another one I strongly recommend.)
Both books offer advice and use cases on how technology can be applied in the fight against crime. A few months ago, I summarized the types of technology being put to use as tools to prevent, detect, and investigate fraud and other criminal activities. (It’s worth a quick read.) What I’m investigating today, however, is… well, investigations.

“IMA is the most critical connection between technology and investigators.”

In my technology summary, I termed this area Investigation Management & Adjudication (IMA). IMA is the most critical connection between technology and humans within an enterprise fraud management ecosystem. Incorporating key elements of enterprise case management, collaboration, link visualization, information dissemination and knowledge discovery, this layer of functionality is designed to uncover insights which aid in investigating complex incidents. The result ought to be actionable visualization of critical entities, and documented results for potential litigation and regulatory compliance.
IBM i2 has long been considered a thought and market leader in this segment – deservedly or not. Palantir Technologies plays in this area as well. Perhaps no company is more in tune with this market, though, than Visallo with their leading investigation analytics platform. Each platform clearly adds value to investigation case management solutions by providing powerful, emerging functionalities that allow easy and intuitive consumption of data in any form. For investigators, the more data – and the easier that data is to consume – the better.

“Users want actionable intelligence, not endless queries.”

What makes for good IMA? A few things, actually. First among them is the technology’s ability to adapt to the way human beings think and act. Users want actionable intelligence, not endless queries. IMA tools, therefore, ought to interact with the investigator in a consultative way that a fellow investigator would. “Hey, have you thought about this, Mr. Investigator?” and “Maybe you should look at that.”
Second, IMA ought to have context. Technologies that simply point to two entities and say, ‘Hey these things look linked‘ are great but leave all of the thinking up to Mr. Investigator. The IMA tools that I like have contextual values associated to those links. ‘Hey, these things look linked AND here’s why that’s important’. Big difference.
Third, IMA should bring the investigations to closure. There are a lot of data mining tools out there that allow querying with case management. How, though, does the investigator get to the point where an investigation is solved and prosecutable? Once again, the most functional IMA products act the way humans do. They package up the results of the investigation in an easy-to-comprehend document that can be shared internally or with police. No loose ends.

“Every investigation ends with an investigator.”

Predictive analytics, big data, and real-time alert scoring are the current industry buzzwords. They should be. They’re important. At the end of the day, however, every investigation ends with an investigator. Putting the right tools in their hands is often the difference between success and failure in an entire enterprise investigation system.
That’s precisely what Crime Tech Solutions, LLC does. Please take a moment to look us over.
Part Two of this series is now available HERE.

Death Deterrents, Texas Teeth, and 'The Big Easy' Money – Selected Financial Crimes Snapshot 11/07/2013

Posted by Douglas Wood, Editor.  http://www.linkedin.com/in/dougwood
Chinese woman sentenced to death for fraud. Ouch. That’s definitely a deterrent…
http://abcnews.go.com/International/wireStory/chinese-woman-sentenced-death-200m-fraud-20785445
70 year old Orthodontist sentenced to two years. Fraud laws in Texas have some real teeth in them…
http://www.kfdm.com/shared/news/top-stories/stories/kfdm_vid_7425.shtml
Think they’ll throw the (school) book at her?…
http://www.philly.com/philly/news/local/20131107_Charter_school_founder_s_fraud_trial_gets_underway.html
New Orleans cops charged. To Protect and Serve (themselves)…
http://www.wwltv.com/news/eyewitness/mikeperlstein/Two-NOPD-officers-have-first-court-date-on-payroll-fraud-issue-231068431.html

To 314(b) or not to 314(b)?

Posted by Douglas Wood, Editor.  http://www.linkedin.com/in/dougwood
FinCEN today (November 1, 2013) released a fact sheet regarding data sharing between financial institutions under the Section 314(b) of the US Patriot Act.
314(b) provides financial institutions with the ability to share information with one another, under a safe harbor that offers protections from liability, in order to better identify and report potential money laundering or terrorist activities.  314(b) information sharing is a voluntary program, and FinCEN has always encouraged its use.
A few years ago, I spent considerable time looking at the overall 314(b) program. I interviewed dozens of Chief Compliance Officers (CCO) and AML/Fraud experts. I found that, despite the benefits to financial institutions – reduction of fraud loss, more complete SARs filings, shedding light on financial trails, etc – the program was not particularly well-utilized. The system, for all it’s good intentions, is very manual.
Imagine you are a 314(b) officer at a financial institution. Your job is to facilitate the data sharing amongst the community. So, much of your time is spent interacting with your CCO on which specific cases should be shared, and with whom. When you get that information, you open up you financial crimes investigation tools, and begin contacting your counterparts across the U.S. and asking them “Hey, do you know anything about Douglas Wood?” You’re calling the other officers completely blind with no idea whatsoever if they know Doug. In the meantime, your voicemail inbox is being flooded with other calls from other institutions asking if you know a bunch of other people (or entities).
Finding the institutions that know Douglas Wood is a lot like looking for a needle in a haystack… except you don’t know which haystacks to look in. The system too often grinds to a halt, despite some excellent work being done by 314(b) officers across the country. There has to be a better way, and some have proposed a data contribution system where financial institutions upload their bad guy data into one large third-party haystack, making the needle a little easier to find. As an advocate for the use of technology in the fight against financial crimes, I hope that model finds some success. The problem, of course, is that banks are LOATHED to put their data in the hands of a third party. Also, it’s typically up to each individual bank to decide if and when they choose to upload their data to be inter-mingled with other institutions. Far too often, it is not entirely reliable and not particularly current.
There is a better way. Several years ago, working with some tech-savvy employees, I envisioned a member-based 314(b) program where each institution maintained total control of their data. The model does not require individual banks to contribute their data for inter-mingling.  All ‘bad guy’ data sits and remains securely behind the banks’ respective firewalls. When an individual bank sends out a request to find out who, if anyone, may have information about a suspicious entity, the request is systematically sent out to all members using a secure network such as SWIFT, for example. That electronic search returns to the querying bank only a risk score which indicates the likelihood that another member is investigating the same entity.
No personally identifiable information (PII) is ever shared, yet the search is productive. The enquiring bank now knows that the person of interest was found in the bad guy data from other participating institutions. With this information in hand, the respective 314(b) officers can move their voicemail exchanges from “Have you ever heard of Douglas Wood” to “We’re both investigating Douglas Wood… let’s do it together.” The time-consuming, manual efforts are dramatically reduced and more bad guys are put away.
So if the question is to 314(b) or not to 314(b), perhaps the answer lies in data privacy compliant technology.