4th Paradigm: Predictive Risk Innovation...

21st century innovation requires new thinking, new tools and the application of a creative mind.  When it comes to innovating Operational Risk Management (ORM), take a leap towards "Predictive Intelligence".  What has been holding you back?  Is it the right combination of new thinking, new tools and the applications you haven't even thought of yet?

How could we apply the use of a High Computing Cluster (HPC) using Amazons Elastic Compute Cloud (EC2) with the right haystack of data to get the answers we seek?  Without building a new data center and for under $5K.  Think about the possibility of 10,000 plus server instances running across five data centers, with the results we seek in hours.  Utility Super Computing is here today for white hats and also even the "Black Hats."

Predictive Analytics is an art and a science, that is thriving with the use of "Fusion Infrastructure" by the hour. Why do we need to spend tens of millions of dollars on our own data center anymore, to get the rapid answers we require to run our business or to defend our nation?

Now the debate has gone beyond the infrastructure, to look at the other bottle necks.  What about the database architecture itself?  Is the traditional implementation of the disk intensive real-time Relational Database Management System (RDBMS) paradigm over?  Hadoop is here, yet requires new language learning curves and is a batch solution.  This could be one of the answers to predictive risk innovation:

MemSQL is the distributed in-memory database that provides real-time analytics on Big Data, empowering organizations to make data-driven decisions, better engage customers, and discover competitive advantages. MemSQL was built from the ground up for modern hardware to leverage dozens of cores per machine and terabytes of memory. We are entering an era that will be defined by distributed systems that scale as you need capacity and compute, all on commodity hardware.

How long will it take you to stand-up your own "Operational Risk Intelligence Center"?  One or two days or a week, with the right people and skill-sets in place.  What kinds of questions and answers will allow you to predict the future, faster than your competitor or your latest cyber adversary?

If you throw enough money at a problem there’s bound to be a solution, some think. That’s the logic of security expert Dan Geer, who this week told the Black Hat conference in Las Vegas that the U.S. government should throw a heck of a lot of greenbacks at people who discover vulnerabilities. 

How much? Ten times more than anyone else, he said in a keynote address.
Geer, chief information and security officer at In-Q-Tel, a not-for-profit venture capital company that invests in early stage companies making products aimed at U.S. intelligence agencies, maintained the U.S. should corner the market on vulnerabilities.
“Then we make them public and reduce to zero the inventory of cyber weapons that others have,” he was Geer said. “I believe that exploitable software vulnerabilities are scarce enough that if we corner the market, we can make a difference.” including eSecurity Planet and ThreatPost.com.

A number of companies have so-called bug bounty programs, including Microsoft and Google. Nor is Geer the first to say governments should open their wallets. In January, researchers at NSS Labs issued a report arguing that only drastic measures can bring cyber threats under control.

Innovation in the Operational Risk Management spectrum is on the verge of massive change. Operations Security, Fraud Analytics and Supply Chain Management are just the beginning.  The Board of Directors of the commercial enterprise, Military Strategic Commands and virtual chat rooms on the deep web, are debating these very subjects.  Application of "Utility High Performance Computing" in combination with 4th Paradigm databases, puts innovation back at the forefront of the creative mind.

operational risk