AIMLExchange.com
Griffiss Cyberspace
:
Pioneering Cyber Finance

AIMLExchange.com
Griffiss Drones Network
:
Pioneering Drones Safety & Reliability Risk Engineering
United States Army United States Navy  United States Air Force  USMarineCorps
AIMachineLearningCyberConnectedBattleField

 

Latest Papers & Presentations: Drones Safety & Reliability Risk Engineering

2018 Armed Forces Communications and Electronics Association (AFCEA) C4I and Cyber Conference
AI, Machine Learning & Deep Learning Risk Management & Controls: Beyond Deep Learning and Generative Adversarial Networks: Model Risk Management in AI, Machine Learning & Deep Learning:
https://ssrn.com/abstract=3193693 .



2018 Princeton Fintech, Crypto, & Quant Conference, Princeton University
AI, Machine Learning & Deep Learning Risk Management & Controls Beyond Deep Learning and Generative Adversarial Networks: Model Risk Management in AI, Machine Learning & Deep Learning:
https://ssrn.com/abstract=3167035 .


2018 MIT AI-Machine Learning Executive Guide including NLP, RPA, & Cognitive Automation

Management & Leadership: MIT AI-Machine Learning Executive Guide: AI, ML, Natural Language Processing (NLP), Robotics, Robotic Process Automation (RPA), Cognitive Automation:
https://www.linkedin.com/pulse/dear-ceo-ai-machine-learning-advice-top-industry-leading-malhotra/ .

2018 Journal of Operational Risk
Bridging Networks, Systems and Controls Frameworks for Cybersecurity Curriculums and Standards Development
https://ssrn.com/abstract=3149414 .

 

2018 Invited AI-ML Cybersecurity Intelligence, Surveillance, & Reconnaissance (ISR) Presentation
Cognitive Computing for Anticipatory Risk Analytics in Intelligence, Surveillance, & Reconnaissance (ISR): Model Risk Management in Artificial Intelligence & Machine Learning
https://ssrn.com/abstract=3111837 .


2017 National Association of Insurance Commissioners (NAIC) Expert Paper

Advancing Cyber Risk Insurance Underwriting Model Risk Management beyond VaR to Pre-Empt and Prevent the Forthcoming Global Cyber Insurance Crisis:
https://ssrn.com/abstract=3081492 .



2017 IUP Journal of Computer Sciences
Quantitative Modeling of Trust and Trust Management Protocols in Next-Generation Social Networks-Based Wireless Mobile Ad Hoc Networks:
https://ssrn.com/abstract=2983573 .


2016 New York State Cyber Security Conference Presentation, Sponsor: State of New York Governor

CyberFinance: Why Cybersecurity Risk Analytics Must Evolve to Survive 90% of Emerging Cyber Financial Threats, and, What You Can Do About It? Advancing Beyond 'Predictive' to 'Anticipatory' Risk Analytics:
https://ssrn.com/abstract=2791863 .

 

2016 Princeton Quant Trading Conference, Princeton University
Beyond Model Risk Management to Model Risk Arbitrage for FinTech Era: How to Navigate ‘Uncertainty’...When ‘Models’ Are ‘Wrong’...And Knowledge’...‘Imperfect’! Knight Reconsidered Again: Risk, Uncertainty, & Profit Beyond ZIRP & NIRP:
https://ssrn.com/abstract=2766099 .


2015 New York State Cyber Security & Engineering Technology Association Conference

Toward Integrated Enterprise Risk Management, Model Risk Management & Cyber-Finance Risk Management: Bridging Networks, Systems and Controls Frameworks:
https://ssrn.com/abstract=2792629 .

2015 Princeton Quant Trading Conference, Princeton University
Future of Finance Beyond 'Flash Boys': Risk Modeling for Managing Uncertainty in an Increasingly Non-Deterministic Cyber World: Knight Reconsidered: Risk, Uncertainty, and Profit for the Cyber Era:
https://ssrn.com/abstract=2590258 .


2015 US National Chief Security Officers & Chief Risk Officers Plenary Keynote
Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: Enterprise Risk Management to Model Risk Management: Understanding Vulnerabilities, Threats, & Risk Mitigation:
https://ssrn.com/abstract=2693886 .

Spanning Wall Street and National Cyber Defense:
Future of Cyber Risk Spans Wall Street Hedge Funds & DoD-AFRL.

State of New York Global Cyberhub for Global Cybersecurity Risk Management deploying advanced digital technologies of AI & Machine Learning; Cybersecurity & Cryptography; and, Block Chain & Cloud Computing.

"Almost all risks characterizing today's information-based financial products and services, financial markets, financial exchanges, financial currencies, and financial economies are however first and foremost Information risks and Cyber risks. Such Information risks and Cyber risks may not only escalate traditional risks but may also subsume traditional financial risks as brick-and-mortar institutions such as NYSE 'trading floors' become 'museums of financial history'."

-- Dr. Yogesh Malhotra on the launch of The Griffiss Cyberspace™,
Summer 2013, Griffiss Cyberspace™
,
Griffiss Business & Technology Park,
Rome, New York, U.S.A.

World Leading Cyber-AI-Machine Learning Engineering R&D:
Cybersecurity Engineering-Quant Finance & Financial Engineering:
120+ Top-10 SSRN Research Rankings, Top 2% SSRN Authors

Goldman Sachs  JP Morgan Asset Management Princeton University MIT Sloan School of Management Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education    MIT Computer Science & ArtificialIntelligence Laboratory CSAIL Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education

Google  IBM  Intel  Microsoft

United States Army United States Navy  United States Air Force  Royal Australian Air Force (RAAF) AIRCDRE  Government of UK, Ministry of Defence  Canadian Department of National Defence, Canada, Defence R&D Canada

Since the inception of the WWW, we have led world-leading Digital Transformation and Cyber Risk Strategies and Practices followed and recommended in their strategies and polices by worldwide leadership institutions such as the Harvard MBA, IT visionaries such as Microsoft founder Bill Gates, and, Big-4 CxOs, and CxOs of the US Army, US Navy, and US Air Force. Having led global ventures, programs, projects, and, teams leading global development and deployment of Global Financial Systems for Bi3-3 IT and Big-3 Banking and Finance firms, we founded world's Top Digital Site (as ranked by Computerworld), world's Top-3 Search Engine (as ranked in Carnegie Mellon Industry.Net Awards), and, world's Top-10 Social Network (ranked among others such as LinkedIn in global industry surveys).

As pioneers of Digital Transformation, we were invited to lead the Silicon Valley CEOs and Venture Capitalists for shaping the future vision of the development of global digital WWW enterprises on the "Wild Wild Web." We have also shaped global and national level Digital Transformation policies as invited global experts for global organizations such as the United Nations as well as the United States Federal government and other major world governments and most advanced digital nations of the world across North America, Europe, and, Asia.

Having advanced the global Risk Management Strategies and Technologies for the top Wall Street investment banks and hedge funds with $1 Trillion AUM, we advanced upon our long-standing leadership across both Global Finance and Global Defense, to launch Griffiss Cyberspace™ based in the Griffiss Air Force Base, Griffiss Technology Park, Rome, New York.

The Griffiss Cyberspace™ marks the Future of the World wherein all key Risks being Cyber Risks shall be material to the future digital survival of global national economies and global financial systems and institutions including global financial markets and exchanges, as well as the future physical survival of the world's nations and states increasingly dependent upon and driven by hyper-velocity and hyper-connectivity of Global Information Infrastructures and National Information Infrastructures development of which we have also led in pioneering global practices leadership roles.


Latest AI-Machine Learning-Cybersecurity-Crypto R&D Updates

Latest Research: AI & Machine Learning for Risk & Uncertainty Management
AI-Algorithms-Machine Learning: 63 SSRN Top-10 Rankings, Top-2% Authors

Our Background: Pioneering Digital:
We create the digital Future™

World's Top-Ranked AI-Algorithms-Machine Learning Cybersecurity Applied R&D Practices Program

1993-2018: R&D: World's Top-Ranked Digital Transformation R&D Leading Global Digital Practices

2015-2018: R&D: AI-Algorithms-Machine Learning: 120+ Top-10 SSRN Rankings, Top-2% SSRN Authors

2018 Armed Forces Communications and Electronics Association (AFCEA) C4I and Cyber Conference
AI, Machine Learning & Deep Learning Risk Management & Controls: Beyond Deep Learning and Generative Adversarial Networks: Model Risk Management in AI, Machine Learning & Deep Learning:
https://ssrn.com/abstract=3193693 .


2018 Princeton Fintech, Crypto, & Quant Conference, Princeton University
AI, Machine Learning & Deep Learning Risk Management & Controls Beyond Deep Learning and Generative Adversarial Networks: Model Risk Management in AI, Machine Learning & Deep Learning:
https://ssrn.com/abstract=3167035 .

2018 MIT AI-Machine Learning Executive Guide including NLP, RPA, & Cognitive Automation
Management & Leadership: MIT AI-Machine Learning Executive Guide: AI, ML, Natural Language Processing (NLP), Robotics, Robotic Process Automation (RPA), Cognitive Automation:
https://www.linkedin.com/pulse/dear-ceo-ai-machine-learning-advice-top-industry-leading-malhotra/ .

2018 Journal of Operational Risk
Bridging Networks, Systems and Controls Frameworks for Cybersecurity Curriculums and Standards Development
https://ssrn.com/abstract=3149414 .

2018 Invited AI-ML Cybersecurity Intelligence, Surveillance, & Reconnaissance (ISR) Presentation
Cognitive Computing for Anticipatory Risk Analytics in Intelligence, Surveillance, & Reconnaissance (ISR): Model Risk Management in Artificial Intelligence & Machine Learning
https://ssrn.com/abstract=3111837 .

2017 National Association of Insurance Commissioners (NAIC) Expert Paper
Advancing Cyber Risk Insurance Underwriting Model Risk Management beyond VaR to Pre-Empt and Prevent the Forthcoming Global Cyber Insurance Crisis:
https://ssrn.com/abstract=3081492 .

2016 Princeton Quant Trading Conference, Princeton University
Beyond Model Risk Management to Model Risk Arbitrage for FinTech Era: How to Navigate ‘Uncertainty’...When ‘Models’ Are ‘Wrong’...And Knowledge’...‘Imperfect’! Knight Reconsidered Again: Risk, Uncertainty, & Profit Beyond ZIRP & NIRP:
https://ssrn.com/abstract=2766099 .

2016 New York State Cyber Security Conference Presentation, Sponsor: State of New York Governor
CyberFinance: Why Cybersecurity Risk Analytics Must Evolve to Survive 90% of Emerging Cyber Financial Threats, and, What You Can Do About It? Advancing Beyond 'Predictive' to 'Anticipatory' Risk Analytics:
https://ssrn.com/abstract=2791863 .

2015 US National Chief Security Officers & Chief Risk Officers Plenary Keynote
Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: Enterprise Risk Management to Model Risk Management: Understanding Vulnerabilities, Threats, & Risk Mitigation:
https://ssrn.com/abstract=2693886 .

2015 Princeton Quant Trading Conference, Princeton University
Future of Finance Beyond 'Flash Boys': Risk Modeling for Managing Uncertainty in an Increasingly Non-Deterministic Cyber World: Knight Reconsidered: Risk, Uncertainty, and Profit for the Cyber Era:
https://ssrn.com/abstract=2590258 .

2015 New York State Cyber Security & Engineering Technology Association Conference
Toward Integrated Enterprise Risk Management, Model Risk Management & Cyber-Finance Risk Management: Bridging Networks, Systems and Controls Frameworks:
https://ssrn.com/abstract=2792629 .

2015 New York State Cyber Security & Engineering Technology Association Conference
Toward Integrated Enterprise Risk Management, Model Risk Management & Cyber-Finance Risk Management: Bridging Networks, Systems and Controls Frameworks (Paper):
https://ssrn.com/abstract=2792636 .


World's Top-Ranked AI-Algorithms-Machine Learning Cybersecurity Applied R&D Practices Program

FutureOfFinance.Org:
2015-2018: R&D: AI-Algorithms-Machine Learning: 120+ Top-10 SSRN Rankings, Top-2% SSRN Authors

2015 Post-Doctoral R&D Thesis: Pioneering the Future of Network & Computer Security:
Stress Testing for Cyber Risks: Cyber Risk Insurance Modeling beyond Value-at-Risk (VaR):
Risk, Uncertainty, and, Profit for the Cyber Era

https://ssrn.com/abstract=2553547 .

2013 First Bitcoin Technical Report on 'Cryptographic Proof of Work' preceding Goldman Sachs
Bitcoin Protocol: Model of ‘Cryptographic Proof’ Based Global Crypto-Currency & Electronic Payments System:
https://ssrn.com/abstract=2911645 .

2014 Bitcoin Interview: Hong Kong Institute of Certified Public Accountants
Bitcoin Protocol: Model of ‘Cryptographic Proof’ Based Global Crypto-Currency & Electronic Payments System:
https://ssrn.com/abstract=2911623 .

2015 Advancing Cognitive Analytics Using Quantum Computing for Next Generation Encryption
Advancing Cognitive Analytics Using Quantum Computing for Next Generation Encryption:
https://ssrn.com/abstract=2911645 .

2015 Number Field Sieve Cryptanalysis Algorithms for Most Efficient Prime Factorization on Composites
Number Field Sieve Cryptanalysis Algorithms for Most Efficient Prime Factorization on Composites:
https://ssrn.com/abstract=2553544 .

2015 Markov Chain Monte Carlo Models, Gibbs Sampling, & Metropolis Algorithm for High-Dimensionality Complex Stochastic Problems
Markov Chain Monte Carlo Models, Gibbs Sampling, & Metropolis Algorithm for High-Dimensionality Complex Stochastic Problems:
https://ssrn.com/abstract=2553537 .

2016 Center for Teaching Innovation and Excellence: CCC Teaching Innovation & Excellence Retreat
If You Build It, They Will Come: Getting U.S. Vocational Colleges to Deliver 'Job Ready' Graduates for 'Real Jobs' of the 'Real World':
https://ssrn.com/abstract=3147046 .

 

"Unlike other risks, Cyber Risk poses a uniquely different set of exposures as it is intertwined with the medium and the message in the increasingly digital world of networked communications... "

- Dr. Yogesh Malhotra, January 19, 2015, in the Risk Futures Report of theFutureOfFinance.org venture:
Future of Finance, Risk, and Quant: ‘Knight Reconsidered’: Risk, Uncertainty, and, Profit for Cyber Era

- Projects: Cybersecurity, Financial Protocols & Networks Protocols Analysis, and, Penetration Testing
- Reports: Quantitative Computational Finance-Risk Modeling & Risk Management Research Papers

- Venture: Griffiss Cyberspace Cybersecurity Venture Aims to Span Wall Street and Hi-Tech Research

 

To guide the global practices of Cyber Risk and Cyber Risk Assessment, Dr. Yogesh Malhotra's post-doctoral research guided by the advisory committee of Distinguished Computer Scientists, Mathematicians, &, Physicists affiliated with AFRL and NYS-CRI defines the risk as well as the means for measuring progress by combining ways and means to achieve defined ends.

Access here:
Model Risk Management of Cyber Insurance Models Using Quantitative Finance and Advanced Analytics: Risk, Uncertainty, and Profit for the Cyber Era
by
Dr. Yogesh Malhotra.

 

CISOs must first define the risk, cybersecurity analyst tells Congress

"To combat continued and growing threats, cybersecurity officials should utilize a two-step process, said a network security firm executive speaking before Congress."

"Step one is to define the risk, and step two is to measure progress by combining ways and means to achieve defined ends," Richard Bejtlich, chief security strategist at FireEye, told the House Energy and Commerce subcommittee on oversight and investigations March 3. "This is exactly the role of strategic thinking, meaning the application of strategies, campaigns, tactics and tools to achieve organizational goals."
-- FierceGovernmentIT, March 5, 2015

 

FireEye

White House

FierceGovernmentIT

"[The] scale and breadth of the attacks — and the lack of clarity about the hackers’ identity or motive — show not only the vulnerability of the most heavily fortified American financial institutions but also the difficulty, despite billions of dollars spent in detection technology, in finding the sources of attack... The data breach at JPMorgan Chase was amongthe most troubling breaches ever,” [Illinois Attorney General] said, adding that it proved “there is probably no database that cybercriminals cannot compromise.”"
-- [President] Obama Had Security Fears on JPMorgan Data Breach, New York Times, Wednesday, 8 Oct, 2014 | 2:08 PM.

"In our existing environment and at our company, cybersecurity attacks are becoming increasingly complex and more dangerous," Dimon said. "The threats are coming in not just from computer hackers ... but also from highly coordinated external attacks both directly and via third-party systems."
-- Jamie Dimon, Chairman & CEO, JP Morgan Chase & Co., JPMorgan cyberattack hits 76M households, CNBC, Friday, 3 Oct 2014 | 1:51 AM ET.

"When it comes to security, the best defense is offense; you need to test the effectiveness of your own security practices before a real intruder does it for you...The best defense against network vulnerabilities is a great proactive offense. You must test your networks and systems before someone else does."

How to Do It:
- Risk Management Framework for Stress Testing Banking Network Protocols
- Markov Chain Monte Carlo Models for High-Dimension Complex Stochastics

- Tools and Techniques for Penetration Testing and Ethical Hacking

"This is going to be a big deal and there will be a lot of battles... We need a lot of help."
-- Jamie Dimon, Chairman & CEO, JP Morgan Chase & Co., Dimon Calls for Help on Cyberattacks, New York Times , Friday, 10 Oct 2014 | 3:22 PM.

White House

 

JP Morgan

CNBC    New York Times

 

 

 

 

 

 

 

 

 

Benjamin Lawsky, superintendent of the New York Department of Financial Services, said that cyberterrorism is the most significant issue that DFS will work on in the next year, saying the possibility of an “armageddon-like” cyberattack is one of his primary concerns as a financial regulator. “I worry that we’re going to have some sort of major cyber-event in the financial system that’s going to cause us all to shudder,” Lawsky said... "We like to say that to some extent the failures to detect the 9/11 plot were a failure of imagination and communication," he said. "I'm worried about the same thing here—that an event will happen and we'll look back and say, 'How did we not do more?'

-- NY regulator warns against looming cyber 9/11, CNBC, Sep 22 , 2014 12:47 p.m. ET.

New York

CNBC    Bloomberg

 

"Treasury Secretary Jacob Lew is calling for financial firms to do more to combat cybersecurity threats..."Far too many hedge funds, asset managers, insurance providers, exchanges, financial market utilities, and banks should and could be doing more,"... attacks on the US financial sector can come from a myriad of sources, including state sponsored groups, cyber criminals, politically motivated hackers and others. No matter the source... a successful attack on the US financial system "would compromise market confidence, jeopardize the integrity of data, and pose a threat to financial stability."
-- Treasury Secretary Calls for Better Cybersecurity at Financial Firms - Jacob Lew Says Successful Attacks 'Would Compromise Market Confidence', The Wall Street Journal, July 15, 2014 6:54 p.m. ET.

New York

Wall Street Journal

 

"Based on available evidence, it is not improbable that the current officially "recommended" most widely used global standard of encryption (RSA-1024) may have already been compromised."
-- Dr. Yogesh Malhotra in Number Field Sieve Cryptanalysis Algorithms for Most Efficient Prime Factorization on Composites presentation 15 miles from the Air Force Research Lab, May 1, 2013.
 


Malhotra, Y. Cryptology beyond Shannon’s Information Theory: Preparing for When the ‘Enemy Knows the System’ with Technical Focus on Number Field Sieve Cryptanalysis Algorithms for Most Efficient Prime Factorization on Composites, Published by the Global Risk Management Network, LLC, May 3, 2013.

 


 

 

'Changes to our SSL Certificates', Thursday, May 23, 2013 8:00 AM, Posted by Google Stephen McHenry, Director of Information Security Engineering: "This encryption needs to be updated at times to make it even stronger, so this year our SSL services will undergo a series of certificate upgrades—specifically, all of our SSL certificates will be upgraded [from RSA-1024] to 2048-bit keys by the end of 2013. We will begin switching to the new 2048-bit certificates on August 1st..."

"Google just announced that its HTTPS web pages will be ditching 1024-bit RSA keys in favour of 2048 bits."
- Anatomy of a change - Google announces it will double its SSL key sizes, nakedsecurity, May 27, 2013.

Computational & Quantitative Finance Risk Management Impact...

Google

"Operational risks stemming from breakdowns attributed to people, process and technology have become increasingly apparent in banking over the years. "

- U.S. Banks’ Model Risk Worse than Ever, Thanks to Basel III, American Banker, July 11, 2013.

Advancing Beyond VaR Model Risks Exposed by the Financial Crisis...

American Banker


"Hackers and other cybercriminals pose as grave a threat to the financial system as the recent financial crisis if banks and government officials don't mount an effective response, a top U.S. official warned Wednesday. The growing sophistication of cyberattacks spawned by criminal organizations, hackers and other foreign governments could pose a systemic risk to the financial system, Comptroller of the Currency Thomas Curry said in a speech in Washington. "The financial-services industry is one of the more attractive targets for cyberattacks, and, unfortunately, the threat is growing," Mr. Curry said. "

- U.S. Official Warns on Threat to Banks From Cyberattacks: Comptroller of Currency Says Systemic Threats are Growing, Wall Street Journal, September 18, 2013.

Cybersecurity Risk as Key Contributor to Banks' Financial Risk...

Office of the Comptroller of the Currency


"On Sept. 18, the Federal Reserve shocked the financial world with its decision not to scale back its level of support to the economy as most market participants expected... By one estimate, as much as $600 million in assets changed hands in the milliseconds before most other traders in Chicago could learn of the Fed's September surprise... The precise timing of the release is crucial because information can only travel as fast as the speed of light... like a Fed decision—released in Washington takes as much as 7 milliseconds to travel to Chicago, where futures and other assets are traded. And because high-speed trading firms are now able to execute trades at the millisecond level, there is a brief window of time in which information can be publicly available in Washington but is still traveling to Chicago, where computers won't receive it until milliseconds later." - Some traders got 'no taper' decision news earlier, CNBC, 24 Sep 2013.

Black Swans and Federal Reserve/OCC Model Risk Guidance SR11-7...

US Federal Reserve System


"On Monday afternoon, seven New York State senators gathered at the Griffiss Institute for a cyber security hearing. The hearing, entitled Defending New York from cyber attacks covered various topics within the cyber security spectrum. There are six subcommittees under the cyber security topic: Banking, Veterans, Homeleand Security & Military Affair, Insurance, Commerce, Economic Development & Small Business, Crime VIctims, Crime & Correction, Select Committee on Science, Technology, Incubation & Entrepreneurship."

- Cyber security conference held On Griffiss, Rome Observer, Monday, November 18, 2013.

Griffiss Cyberspace Venture Spans Wall Street & Hi-Tech Quant Research...

Rome Observer

 

"There are many definitions of knowledge management. It has been described as "a systematic process for capturing and communicating knowledge people can use." Others have said it is "understanding what your knowledge assets are and how to profit from them." Or the flip side of that: "to obsolete what you know before others obsolete it." (Malhotra) "
- U.S. Department of Defense
Office of the Under Secretary of Defense (Comptroller)

CxO Leadership Pioneering Global Cyber Risk Management Practices...

Us DoD Under Secretary of Defenese

 

"We are observing diminishing credibility of information technologists. A key reason for this is an urgent need to understand how technologies, people and processes together combine to influence enterprise performance. - Yogesh Malhotra, Journal of Knowledge Management"

- United States Air Force Research Lab CIO Col. Tom Hamilton
in presentation to the Armed Forces Communications Electronics Association titled 'Enterprise IT Solutions Are Tough But They're Tougher If You're Stupid'.

CxO Leadership Pioneering Finance-IT-Risk Management Practices...

Griffiss AFRL

 

"KM is obsoleting what you know before others obsolete it and profit by creating the challenges and opportunities others haven't even thought about -- Dr. Yogesh Malhotra in Inc. Technology "

- U.S. Defense Information Systems Agency Interoperability Directorate.

Global Cyber Defense, Finance & IT Risk Management CxO Guidance...

Griffiss AFRL

Griffiss Cyberspace (AIMLExchange.com) Cybersecurity Venture Aims to Span Wall Street and Hi-Tech Research:
World-Leading Thought Leadership of Global Defense Bearing on Global Finance Cybersecurity

Griffiss Cyberspace, our latest Cyber Risk Management venture in the Griffiss Air Force Base area of Rome, New York, advances our global CxO leadership renowned for pioneering U.S. and worldwide risk practices in IT and Cyber Risk Management. It aims to connect the dots between Wall Street quantitative finance and quantitative risk modeling research and practices and latest generation computational and mathematical research and practices in cybersecurity and cyber risk management of critical national information infrastructures (NII). Its socioeconomic objective is to contribute to the regional economic development of Central New York and advancement of cybersecurity and cyber risk management practices related to global banking and financial systems and other critical NII.

Our prior research followed by the nation's top signals intelligence (SIGINT) expert agencies NSA and CIA, such as the computer science journal Expert Systems with Applications top-ranked paper on Cyber risk management human and machine learning expert systems & AI (2001), advanced upon Shannon's Information Theory. Inspired by our communication with the Genetic Algorithms pioneer Dr. John Holland (1995) at the Santa Fe Institute at the time, it anticipated and addressed many questions raised about quantitative computational models in the aftermath of the 2008-2009 Global Financial Crisis more than a decade ahead of time. Our recent Cryptanalysis research focus on Number Field Sieve Cryptanalysis Algorithms for Prime Factorization on Composites proposed next generation robust encryption standards by advancing Non-Deterministic reformulations of both Kerckhoffs's principle and Shannon's maxim underlying modern encryption standards and technologies.

Our two-decade-long Cyber Risk Management applied research and global practice ventures also produced and published one of the most influential seminal research papers on the US National Information Infrastructure (NII) in 1995 used as a most recommended resource by worldwide and UN Economists, Statisticians, and Policymakers and top programs such as the University of California Berkeley.

US Office of the Comptroller of the Currency recently underscored Cybersecurity as ‘Fastest-Growing Risk to Banks’ that must be accounted for like other Financial Risks such as Credit Risk or Market Risk (see, for example: "OCC Sees Cybersecurity as Fastest-Growing Risk to Banks", American Banker, June 18, 2013). The growing sophistication of cyberattacks could pose a systemic risk to the financial system, Comptroller of the Currency Thomas Curry noted in his subsequent speech, observing that the "financial-services industry is one of the more attractive targets for cyberattacks, and, unfortunately, the threat is growing." (see, for example 'U.S. Official Warns on Threat to Banks From Cyberattacks: Comptroller of Currency Says Systemic Threats are Growing', Wall Street Journal, September 18, 2013.)

Reflecting on OCC's remark that the specific cyberattack and cybersecurity related risks represent 'operational risks', it seems important to update our perspectives characterizing financial risks in traditional terms such as Credit Risks, Market Risks, Operational Risks, etc. Such definitions might have reflected the true nature of financial risks in the past. Almost all risks characterizing today's information-based financial products and services, financial markets, financial exchanges, financial currencies, and financial economies are however first and foremost Information risks and Cyber risks. Such Information risks and Cyber risks may not only escalate traditional risks but may also subsume traditional financial risks as brick-and-mortar institutions such as NYSE 'trading floors' become 'museums of financial history'.
- Dr. Yogesh Malhotra,
Summer, 2013

 

 


*Pentagon Joint Chiefs: C4I-Cyber™: Beyond AI-Quantum Supremacy: Command-Control Supremacy™.
*US Air Force: AIMLExchange™: Invited Interviews: Top USAF Chief Scientist Pentagon Role.
*GIBC Digital Welcomes Leading Machine Learning & AI Expert to Lead $Billion AI-ML Data Center.
*Block Chain-Cloud Computing Pioneer: AI-Crypto Expert On Asia-Australia CEO Global Road Shows.
*MIT Computer Science & AI Lab AI-ML Executive Guide: MIT-Princeton AI-Quantum Faculty-SME.
*Princeton University Quant Trading-FinTech Crypto Presentations: Sponsors: Goldman Sachs, Citadel.

*2021 R&D Leading Worldwide Digital Practices: AI-ML-DL-Cyber-Crypto-Quantum-Risk-Computing
*2021 Joint Chiefs Of Staff: Beyond ABMS JADC2 to Quantum Uncertainty and Time-Space Complexity
*2020 Joint Chiefs Of Staff: AI-Quantum Autonomy in Space: Quantum PhD-Engineers Expert Keynote
*2021 Silicon Valley-Wall Street-Pentagon Digital Pioneer: Digital Startups to Trillion Dollar Enterprises
*2020 Making Quantum Computing Real for JADC2 With Qiskit: Quantum Communication & Networking
*2020 Beyond Data Protection to Command and Control (C2) Sustainability: U.S. Data Protection Act
*2019 Innovation Community (UK): Dr. Yogesh Malhotra: Future of AI-ML - Data Science, BlockChain
*2019 Journal of Financial Transformation: Capital Markets-Risks: AI Augmentation-Risk Management.
*2019 New York State Cyber Security Conference: AI-ML-GANs-DeepFakes: Cyber Risk of Deep Fakes.
*2016 New York State Cyber Security Conference: Beyond Predictive to Anticipatory Risk Analytics.
*2018 CFA Society Keynote: JP Morgan-Goldman Sachs Cases: Model Risk Management AutoML.
*2018 AFCEA C4I Cyber Conference: AI-ML-Cybersecurity Risk & Uncertainty Management Controls.
*2018 MIT Sloan-Computer Sc. & AI Lab AI-ML Executive Guide including RPA & Cognitive Automation
*2018 Princeton FinTech & Quant Conference: Invited Research Presentation: AI-ML-DL MRM.
*2016 Princeton Quant Trading Presentation: Beyond Model Risk Management to Model Risk Arbitrage.
*2015 Princeton Quant Presentation: Future of Finance Beyond 'Flash Boys': Managing Uncertainty.
*2018 Journal of Operational Risk: Toward 'Cyber-Finance’ Cyber Risk Management Frameworks.
*2017 National Association of Insurance Commissioners, Cyber Risk Insurance beyond VaR Models.
*2017 IUP Journal of Computer Sciences, April, Quantitative Modeling of Trust Management Protocols.
*Stress Testing for Cyber Risks: Cyber Risk Insurance Models beyond VaR: Risk, Uncertainty, & Profit.
*Integrated Enterprise Risk Management, Model Risk Management & Cyber-Finance Risk Management.
*Bridging Networks, Systems, Controls Frameworks: Cybersecurity Curricula & Standards Development.
*Advancing Cognitive Analytics Using Quantum Computing for Next Generation Encryption.
*Invited Princeton Quant Trading Presentations: 'Rethinking Finance' for Global Networked DeFi.
*Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, Intelligence.

*Risk Management Framework: Penetration Testing: Banking-Finance Network VoIP Protocols.
*CyberFinance: Cybersecurity Risk Analytics Must Evolve to Survive Emerging Cyber Financial Threats.
*Beyond 'Bayesian vs. VaR' Dilemma: Managing Risk After Risk Management Failed for Hedge Funds.
*Measuring & Managing Financial Risks with Improved Alternatives Beyond Value-at-Risk (VaR).

*Markov Chain Monte Carlo Models for High-Dimensionality Complex Network Security Problems.
*Risk, Uncertainty, Profit: 'Knight Reconsidered': Model Risk Management in Cyber Risk Insurance.
*Cyber-Finance Risk Management: Strategies, Tactics, Operations, Intelligence: ERM to MRM.
*Number Field Sieve Cryptanalytic Algorithms for Efficient Prime Factorization on Composites.
*Bitcoin & Statistical Probabilistic Quant Methods: Financial Regulation: Hong Kong CPAs.
*Bitcoin Protocol & Block Chain: Model of 'Cryptographic Proof' Crypto-Currency Payment Systems.
*2015-2023 120+ SSRN Top-10 Rankings: AI-ML-Quant-Cyber-Crypto-Quantum-Risk Computing.
*2008 AACSB International Impact of Research Report: Among Finance Nobel Laureates Black-Scholes

Top Wall Street Investment Banks Quantitative Finance Projects & FinTech Ventures

US Air Force HQ AI-Machine Learning Commercial Exchange: Pioneering AGI To Save the World
AFRL Commercialization Academy: Building the Future of AGI: Griffiss Cyberspace & Drone™.
MIT Computer Science & AI Lab AI-Machine Learning Executive Guide: AI, ML, DL, NLP, RPA.
Princeton: Future of Finance: 'Rethinking Finance' for Era of Global Networked Digital Finance.

Journal of Financial Transformation:Capital Markets: AI Augmentation Cyber Risk Management.
New York State Cyber Security Conference: AI-ML-GANs-DeepFakes: Cyber Risk of Deep Fakes.
CFA Society Keynote: JP Morgan-Goldman Sachs Practices: Model Risk Management with AutoML.
AFCEA C4I Cyber Conference: AI-ML-Cybersecurity Risk & Uncertainty Management Controls.
MIT Sloan-Computer Sc. & AI Lab AI-ML Executive Guide including RPA & Cognitive Automation
Princeton FinTech Quant Conference: Research Presentation: AI-ML-Deep Learning MRM.
Journal of Operational Risk: 'Cyber-Finance’ Cyber Risk Management Frameworks of Practice.
National Association of Insurance Commissioners: Expert Paper: Cyber Risk Insurance Modeling
Princeton Quant Trading Presentation: Beyond Model Risk Management to Model Risk Arbitrage.
Princeton Quant Trading Presentation: Future of Finance Beyond 'Flash Boys': Uncertainty.
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"There are many definitions of knowledge management. It has been described as "a systematic process for capturing and communicating knowledge people can use." Others have said it is "understanding what your knowledge assets are and how to profit from them." Or the flip side of that: "to obsolete what you know before others obsolete it." (Malhotra) "
- U.S. Department of Defense, Office of the Under Secretary of Defense (Comptroller)

"KM is obsoleting what you know before others obsolete it and profit by creating the challenges and opportunities others haven't even thought about -- Dr. Yogesh Malhotra, Inc. Technology"
- U.S. Defense Information Systems Agency Interoperability Directorate

"If you spend some time at [the digital research lab] founded by Dr. Malhotra you will be blessed by some of the world's most astute thinking on the nature of knowledge and its value."
- U.S. Army Knowledge Symposium, Theme: "Knowledge Dominance: Transforming the Army...from Tooth to Tail", Department of Defense, United States Army.

"We are observing diminishing credibility of information technologists. A key reason for this is an urgent need to understand how technologies, people and processes together combine to influence enterprise performance. Today's effective CIO doesn't deliver IT. He delivers business transformation services."
- Yogesh Malhotra, Journal of Knowledge Management, 2005
- United States Air Force Research Lab CIO Col. Tom Hamilton
in presentation to the Armed Forces Communications Electronics Association titled 'Enterprise IT Solutions Are Tough But They're Tougher If You're Stupid', July 21, 2005.

"Knowledge Management refers to the critical issues of organizational adaptation, survival and competence against discontinuous environmental change. Essentially it embodies organizational processes that seek synergistic combination of data and information processing capacity of information technologies, and the creative and innovative capacity of human beings." -- Yogesh Malhotra
- United States Department of Navy

"Dr. Yogesh Malhotra, PhD, drawing upon numerous sources, proposes several theories as to how IT can be used to drive the change of organizations. As environments become more turbulent, organizations must adapt at the same rate to maintain its advantage. Among his theories are that the turbulent environments (in this case, business, but can translate to the turbulent military conflict environment) drive organizations to use IT for empowering workers at all levels, increasing span of control, and increasing lateral communications."
- United States Marine Corps, Reorganization Of The Marine Air Command And Control System To Meet 21St Century Doctrine And Technology, Thesis, September 2001.

"The self-organizing capacity of dynamically adaptive systems is amazing. They tend to eliminate redundancy, minimize connections, and establish priorities--all without outside direction. When something is organized, we tend to believe that someone organized it, some outside influence. But that's not necessarily so. Self-organization is a process in which the organization of a system occurs spontaneously based on the action of its members, without this process being controlled by an external system. The richness of possible behavior increases rapidly with the number of interconnections and the level of feedback. (Malhotra) "
- U.S. Army War College Quarterly

"Dr. Malhotra argues in Business Process Redesign that reengineering is the notion of discontinuous thinking -- recognizing and breaking away from outdated rules and fundamental assumptions. He suggests that reengineering principles are organized around outcomes, and that people who use the output should perform the process. This links parallel activities instead of integrating results, and puts the decision point where the work is performed (Malhotra, 1996). Integrating the DPW processes further into the installation staff can achieve these outcomes. Seventy percent of Business Process Redesigns (BPR) fail because of business focus on cost-cutting and narrow technical approaches (Malhotra, 1996). The installation commanders should decide how DPWs could best serve the community. They should have the opportunity to focus on efficient output and not on restructuring to cut cost. Developing the Corps as the primary service provider narrows the commander's options and does not solve the problem, merely the symptoms. The ultimate success of BPR depends on the experience of people who execute it and how well they apply their creativity to redesigning the processes."
- U.S. Army Management Staff College

"These activities are often described as "knowledge management." See Knowledge Management, in the World Wide Web Virtual Library, edited by Yogesh Malhotra. (Accessed June 16, 1998)....The terms "marshalling" and "mobilization" are intended here to represent two major activities of knowledge management in U.S. national security decisionmaking. Although others may describe and classify basic knowledge-building activities differently, "knowledge management" has been accepted as an umbrella term. See. for example, TheWorld Wide Web Virtual Library on Knowledge Management, edited by Yogesh Malhotra, (Accessed June 16, 1998)..."
- U.S. Air Force Colonel Roc A. Myers, Colonel (s), Harvard University Air Force National Defense Fellow with the Program in 1997-98. Strategic Knowledgecraft: Operational Art for the Twenty-First Century, Roc A. Myers, Prepared while an Air Force National Defense Fellow with the Program in 1997-98 (September 2000).

"Seventy percent of BPR projects fail. Three primary obstacles inhibit the success of reengineering projects: Lack of sustained management commitment and leadership -- It is critical that senior leadership not only support BPR but also be a vocal advocate. Unrealistic scope and expectations -- It is important to manage expectations. BPR is not a panacea that will cure all ills. Resistance to change -- The world is changing all the time and the pace of change continues to accelerate. It will continue to change whether we participate or not. We must change with it or be left behind. AIT provides AIS program managers the opportunity to completely reexamine and reengineer their entire business process, because it offers capabilities not previously available in terms of timeliness and accuracy of data capture. During the operational prototype, the Air Force provided an excellent example of a reengineered business process as a result of AIT. The Supply Asset Tracking System (SATS) is a front-end server that integrates AIT with the supply AIS, the Standard Base Supply System (SBSS). SATS uses linear bar codes for tracking and inventory purposes and smart cards for personal identification to verify receipt and establish personal accountability of property. (Malhotra) "
- U.S. Department of Defense Logistics Implementation Plan

"Knowledge Management caters to the critical issues of organisational adaption, survival and competence in the face of increasingly discontinuous environmental change ... Essentially, it embodies organisational process that seek synergistic combination of data and information processing capacity of information technologies and the creative and innovative capacity of human beings." - Yogesh Malhotra
- Royal Australian Air Force (RAAF) AIRCDRE John Blackburn, Director General Policy and Planning - Air Force (DGPP-AF), Royal Australian Air Force (RAAF), in Air Power Conference 2000.

"First intangible assets are defined in relation to core competencies of the firm. Each core competence is a combination of intangible assets such as knowledge and skills, standards and values, explicit know-how and technology, management processes and assets, and endowments such as image, relationships, and networks. Knowledge creation is the core competence of any firm (Malhotra, 2000)."
- Government of UK, Ministry of Defence

"Malhotra noted the importance of Information Systems for organizational learning, mentioning a series of techniques, methods and tools that can foster organizational learning at many steps of the process: knowledge acquisition, creation and distribution [Malhotra, 1996]."
- Canadian Department of National Defence, Canada, Defence R&D Canada

"Knowledge Management caters to the critical issues of organisational adaption, survival and competence in the face of increasingly discontinuous environmental change. Essentially, it embodies organisational process that seek synergistic combination of data and information processing capacity of information technologies and the creative and innovative capacity of human beings. -- Yogesh Malhotra"
- Air Force, Australia, Director General Policy and Planning

"According to Malhotra, KM ensures that right knowledge is applied at the right place and time and it is about doing the right thing instead of doing things right. Its application to R&D will avoid unnecessary duplication of research. It can help support both individual and organizational learning from past successes and failures while guiding future actions and changes."
- International Atomic Energy Agency

"The Knowledge Management (KM) area has become so diverse over the past ten years as researchers have begun to investigate not only the mechanics of knowledge creation and transfer but also of social and cultural issues that are of importance in understanding this topic. KM is the process of leveraging and utilizing the vast, untapped potential of both implied and documented knowledge to achieve optimal performance, both are equally important for improving performance. Knowledge Management enables businesses to exchange and optimize the knowledge and experience. "Knowledge Management caters for the critical issues of organisational adoption, survival and competence in face of increasingly discontinuous environmental change. Essentially, it embodies organizational processes that seek synergistic combination of data and information processing capacity of information technologies, and the creative and innovative capacity of human beings" (Dr. Yogesh Malhotra 1997)."
- IBM

"In his latest book, Knowledge Management and Virtual Organisations, KM luminary, Dr. Yogesh Malhotra, offers some cautionary advice. He exposes three myths often associated with KM solutions. The first of these is that knowledge management technologies can deliver the right information to the right person at the right time. This assumes businesses will develop incrementally in stable markets. However as Malhotra says, "the new business model in the Information Age is marked by fundamental, not incremental change. Businesses can't plan long-term; instead, they must shift to a more flexible 'anticipation of surprise' model. Thus it is impossible to build a system that predicts who the right person at the right time even is, let alone what constitutes the right information."
- Microsoft Corporation

"All can be used to further the goal of keeping the channels of communication open to allow for the exchange of issues and ideas within an organization. According to BRINT Institute chairman and CKO Dr. Yogesh Malhotra, "The key issue is not about the latest information technologies, but whether those technologies are used within, and for facilitating, a culture of information sharing, relationship building and trust." With communication and trust, set within the solid framework of a component architecture, your business can harness that elusive ability to get the right information to the right people at the right time for the right business purposes."
- Cisco Systems, Inc.

"According to Yogesh Malhotra, Knowledge Management practitioner and web author, "Knowledge Management is a brand new field emerging at the confluence of organization theory, management strategy, and management information systems." Breaking apart this definition, Knowledge Management can be defined as an internal, corporate strategy. Knowledge Management can also stand alone as a separate, Information Technology program. Malhotra is right on target when he states that Knowledge Management is a brand new field. Knowledge Management began receiving airplay in 1996. At that time, Tom Davenport wrote in CIO Magazine that a chief knowledge officer "captures and leverages structured knowledge, with information technology as a key enabler." Expanding upon Malhotra and Davenport's definitions, Knowledge Management within NCR Corporation can be defined via a business objective (strategic), a method of Knowledge Management delivery (the management information system), and a role within the organization. NCR's objective is to create, capture, and disseminate knowledge."
- NCR Corporation

"Institutionalization of 'best practices' by embedding them in information technology might facilitate efficient handling of routine, 'linear,' and predictable situations during stable or incrementally changing environments. However, when this change is discontinuous, there is a persistent need for continuous renewal of the basic premises underlying the 'best practices' stored in organizational knowledge bases. -- Yogesh Malhotra in Knowledge Management in Inquiring Organizations"
- Vice President, SAP, North America in SAP Portals ASUG Meeting

"Often used synonymously, the terms knowledge and information, are actually different. Information facilitates knowledge, and can exist without knowledge. Knowledge, however, cannot exist without information. To simplify the concept, Dr. Yogesh Malhotra, renowned scholar on Knowledge Management, defines "Knowledge" as potential for action that has an immediate link to performance. This definition suggests that a person's response or action, or contextual consideration for future action, based on information, is knowledge."
- VeriSign Inc.

"It is generally agreed that the greatest challenges to knowledge management initiatives are resistance to change in both an organization's information-sharing culture and the business processes that occur as a result. K.M. Malhotra defined the problem as follows: Culture is the most difficult component of KM to define, quantify, measure and influence. However, the success or failure of an effective KM program is almost solely dependant upon whether an organization's culture encourages or hinders sharing and transferring knowledge freely within the organization's structure. One thing is certain: an organization's cultural predisposition toward the free transfer of knowledge is largely reflective of the proactive stance demonstrated by the organization's leadership."
- Northrop Grumman

"Il Knowledge Management essenzialmente coinvolge processi organizzativi che cercano di realizzare una combinazione tra le capacità di elaborazione di dati e informazioni e le capacità creative e innovative degli esseri umani. (fonte: Yogesh Malhotra, Ph.D., Knowledge Management for the New World of Business...)"
- Microsoft, Italy

"Knowledge Management refers to the critical issues of organisational adaptation, survival and competence against discontinuous environmental change. Essentially it embodies organisational processes that seek synergistic combination of data and information processing capacity of information technologies, and the creative and innovative capacity of human beings. This definition proposed by Dr. Yogesh Malhotra summarises a key issue for e-learning strategies and the way they will impact professional training and companies' organisation policies."
- European Commission

"In the Committee's view, definitions that treat the area as a discipline rather than a mere collection of technologies best encapsulate what knowledge management means. For example, Malhotra says:, "Knowledge Management caters to the critical issue of organisational adaptation, survival and competence in the face of increasingly discontinuous environmental change..."
- Parliament of Victoria, Australia

"It is therefore impossible to typify the roles of Knowledge Management workers other than the CKO, and indeed these roles themselves are in a constant state of change. Dr. Yogesh Malhotra defines this as follows: Given the need for autonomy in learning and decision making, such knowledge workers would also need to be comfortable with self-control and self-learning."
- Government of UK

"We are facing "permanent white-waters" which demands strategies for adaptation to uncertainty in contrast to the conventional emphasis on optimisation based on prediction (Malhotra 1999). To quote a decision-maker in a large multinational firm; "The future is moving so quickly that you can't anticipate it. We have put a tremendous emphasis on quick response instead of planning. We will continue to be surprised, but we won't be surprised that we are surprised. We will anticipate the surprise." (Malhotra 1999)."
- Government of Sweden

"It is difficult, not to say impossible, to replace the significance of individual or collective face-to-face interactions in the sharing of tacit knowledge and articulating it as explicit in an organization, even if rapid development of interactive multimedia applications combining text, image and sound offers increasingly advanced communication potential. Virtual forms of working and work organization might at best supplement, but never totally replace, self-managing teams with close physical and social contacts, for instance, as a forum for learning. (Malhotra) "
- Government of Finland

"A key feature of knowledge management is the sharing of knowledge as opposed to simply the dissemination of information. Knowledge has a different quality to information. Knowledge includes human experience and the ability to make complex judgments based on past experience. Information is more about mere data whereas knowledge is 'potential for action'. (Malhotra)
- Government of Australia

"Ich glaube die Technology ist der leichtere Teil des Ganzen. Die wirkliche Herausforderung stecken doch darin wie die Geschäfts-Prozessen und die darauf aufbauenden Geschäfts- Modelle in Einklang gehalten werden mit den radikalen änderungen in der Geschäftswelt und dem Berufsbild der "Knowledge Worker."[Malhotra, 1993]."
- Government of Austria

"Knowledge management refers to the critical issues of organizational adaptation, survival and competence against discontinuous environmental change. Essentially it embodies organizational processes that seek synergistic combination of data and information processing capacity of information technologies, and the creative and innovative capacity of human beings," says Dr. Yogesh Malhotra, founding chairman and chief knowledge architect of the BRINT Institute, in an interview with Alistair Craven. Widely recognized as a knowledge management pioneer, Malhotra adds, "Knowledge management is more about the pragmatic and thoughtful application of any concept or definition, as it is not in the definition but in real world execution where opportunities and challenges lie. Any definition therefore must be understood within the specific context of expected performance outcomes and value propositions that answer the question 'Why' about relevance of KM.""
- U.S. Embassy, American Center, New Delhi, India

"Knowledge management, which is a new field emerging from the confluence of organisation theory, management strategy and management information systems, is viewed as an essential driver for innovation. According to Malhotra "Knowledge Management caters to the critical issues of organisational adaption, survival and competence in face of increasingly discontinuous change. Essentially it embodies organisational processes that seek a synergistic combination of data and information processing capacity of information technologies, and the creative and innovative capacity of human beings"."
- Government of South Africa

"Estes ativos do conhecimento aumentam com o uso e daí a importância de as empresas identificarem o que sabem e manterem todo o esforço para desenvolverem área de gestão do conhecimento. A gestão do conhecimento, segundo Malhotra é a capacidade de catalizar os aspectos críticos de adaptação, sobrevivência e competência, buscando uma combinação sinérgica da capacidade de processar informações e conhecimento com a capacidade criativa e inovativa dos seres humanos. (MALHOTRA, 1999)."
- Government of Brazil

"Esta enumeración no implica que algún factor no pueda ocupar a la vez distintas posiciones. La principal característica del nuevo entorno de las organizaciones es su alto nivel de incertidumbre. Por incertidumbre entendemos "la diferencia entre la cantidad de información requerida para realizar una tarea y la cantidad de información ya en poder de la organización" YOGESH, Malhotra.""
- Government of Argentina

"The disconnect between IT expenditures and the firms' organizational performance could be attributed to an economic transition from an era of competitive advantage based on information to one based on knowledge creation." - Yogesh Malhotra
- Government of Mauritius

"The focus of knowledge management is on 'doing the right thing' instead of doing things right’, (Yogesh Malhotra, 2001). The emphasize is that that knowledge management provides framework within which the organization views all processes of the activities to sustain the business and/or ensuring the business survival. Within the army organization, there is no difference. The army needs to keep pace with the technology advancement preparing for the increasingly dynamic and unpredictable regional and world environment."
- Royal Military Police Directorate, Army HQ, Malaysia

"Knowledge Management embodies organnizational processes that seek synergistic combinations of data and information processing capacity of information technologies, and the creative and innovative capacity of human beings." -- Yogesh Malhotra, Ph.D."
- Government of Malta

"Dr. Yogesh Malhotra, one of the experts and founder contributor in the development of concept of KM has defined the KM as under : "Knowledge Management caters to the critical issues of organizational adaptation, survival and competence in face of increasingly discontinuous environmental change. Essentially, it embodies organizational processes that seek synergistic combination of data and information processing capacity of information technologies, and the creative and innovative capacity of human beings". As it is clear from this definition that objective of Knowledge Management as a crucial management function is not only to survive under changing environment but also to make the organisation adaptable and competitive. The same is particularly applicable for Banks in India, since they are now operating under such a dynamic business environment."
- Indian Banks' Association, India

"Dr. Yogesh Malhotra, the Founder and Chief Knowledge Architect of BRINT, and a well-known expert in the field of K-economy, opines: "The challenges facing us as we enter the 21st Century are formidable. Globalization, Information Technology and Shareholders' Values are transforming the world. To meet these challenges is to become a knowledge-creating or knowledge intensive organization"."
- Indian Banks' Association, India

"Knowledge Management has structural and functional basis in the IM (Information Management or IRM. The main difference is the high degree of dynamic activity involved in the KM system. To summarize in the words of Dr. Malhotra, (10) 'use of the information and control systems and compliance with pre-defined goals, objectives and best practices may not necessarily achieve long-term organizational competence. This is the world of 're-use,' 're-engineering', 're-cycling' etc, which challenges the assumptions underlying the 'accepted way of doing things.' This world needs the capability to understand the problems afresh given the changing environmental conditions. Knowledge management focuses on 'doing the right thing' instead of 'doing things right.'"
- Indian Statistical Institute, Bangalore, India

"Knowledge Management caters to the critical issues of organizational adaption, survival and competence in face of increasingly discontinuous environmental change. Essentially, it embodies organizational processes that seek synergistic combination of data and information processing capacity of information technologies, and the creative and innovative capacity of human beings."
- National Academy of Psychology (NAOP), India

"Finally, all who are concerned with IT security issues should understand -- and appreciate -- the difference between information and knowledge. Information, writes Yogesh Malhotra, PhD, is embedded in a computer -- while knowledge is embedded in people. "Information generated by a computer is not a very rich carrier of human interpretation for potential action," he writes. "Computer are merely tools, however great their information-processing capabilities may be."
- Chairman of the Board, The Institute of Internal Auditors

"Leadership Quote of the Week: The focus of knowledge management is on doing the right thing instead of doing things right... Yogesh Malhotra"
- Chartered Management Institute, UK

"Dr. Yogesh Malhotra, founder of the Brint Institute and a pioneer in knowledge management, posits that "the basic premise is that you can predict how and what you'll need to do and that IS can simplify this and do it efficiently". However, the new business model, he says, is marked by fundamental, not incremental, change and businesses can't plan long-term. Instead, they must shift to a more flexible "anticipation of surprise" model, making it impossible to build a system that can predict what is the right information to be delivered to the right person at the right time. This is not to say that information technology has been displaced from the knowledge management equation; its place has been preserved by a growing realisation among developers that software alone cannot automatically be seen as the solution."
- National President of the Australian Computer Society, Australia

"Yogesh Malhotra, founding chairman and chief knowledge officer for the BRINT Institute in Syracuse, New York, believes that the fundamental distinction between data and knowledge plays a major role in whether a system is designed for adaptation and quick response to change. "Dynamic and radically changing environments overwhelm the deterministic logic of a structured model, resulting in a 70 percent failure rate that has characterized implementations of knowledge management models" says Malhotra. Recounting his visit to a Silicon Valley hi-tech consulting firm, Malhotra attributes most failed corporate intranet initiatives to the above fallacy... Malhotra says that once routinized for efficiency and optimization, knowledge-harvesting processes may be delegated to others. However, supply managers need to be more proactively involved in knowledge-creation and knowledge-renewal processes..."
- Institute for Supply Management (ISM)

"Yogesh Malhotra, founding Chairman and Chief Knowledge Architect of the BRINT Institute states: "Knowledge management software is not a canned solution; "Knowledge management technologies cannot always deliver the right information to the right person at the right time; "Information technologies cannot store human intelligence and experience; "Knowledge management systems do not account for renewal of existing knowledge and creation of new knowledge; "Greater incentives are needed for workers to contribute quality content to KMS." Improper use of KMS databases can waste resources if an organization does not really know what knowledge assets it possesses and fails to capitalize on potential new initiatives."
- National Association of Realtors

"Similarly, Dr. Yogesh Malhotra, the famous "Knowledge Architect", wrote a cautionary article on "When Best [Practices] Becomes Worst", Momentum: the Quality Magazine of Australasia, Quality Society of Australasia, NSW (Australia, 2002). In fact, the conditions for producing and utilizing knowledge workers are not a question of the persons concerned merely acquiring subject-matter expertise, problem-solving competency and communication skills. It is essential to provide an environment where such persons can operate and flourish. In the same vein, one of Malhotra's recent books (monograph) for UNESCO discusses knowledge work taking place in "hyper turbulent organizational environments.""
- International Labour Office (ILO)

"Knowledge Management - Discipline that seeks to improve the performance of individual organizations by maintaining and leveraging present and future value of knowledge assets, encompassing both human and automated activities. " Knowledge Management caters to the critical issues of organizational adaption, survival and competence in face of increasingly discontinuous environmental change.... Essentially, it embodies organizational processes that seek synergistic combination of data and information processing capacity of information technologies, and the creative and innovative capacity of human beings." - Dr. Yogesh Malhotra"
- U.S. Department of Health & Human Services

"The mechanistic model of information processing and control based upon compliance is not only limited to the computational machinery, but extends to specification of goals, tasks, best practices and institutionalized procedures to achieve the pre-specified outcomes." -- Yogesh Malhotra
- European Health Management Association, Ireland

"KM has become an increasingly important management discipline in recent years. Nevertheless, some say the phrase KM is unhelpful because 'knowledge is not a "thing" that can be "managed"1. They challenge the 'dominance and control model' that often underlies traditional views of knowledge and organisational management and development. They assert instead the notion that knowledge is largely cognitive, tacit and highly personal. They champion the fundamental role of people and the social interactive basis of knowledge sharing and creation. (Malhotra, Y..) "
- UK Department of Health

"Knowledge management is viewed as an essentialdriver for innovation. According to Malhotra, "Knowledge Management caters to the critical issuesof organisational adaptation, survival and competencein the face of increasingly discontinuous change.Essentially it embodies organisational processes thatseek a synergistic combination of the data andinformation processing capacity of informationtechnologies, and the creative and innovative capacityof human beings"."
- United Nations Development Program (UNDP), Geneva, Switzerland

"Adaptive Learning (See: Double Loop Learning): "Adaptive learning, or, single-loop learning, focuses on solving problems in the present without examining the appropriateness of current learning behaviors." -- Malhotra, Y., Organizational learning and learning organizations: an overview."
- World Health Organization (WHO)

"Dr. Yogesh Malhotra is regarded among the world's most influential practitioners and thought leaders on knowledge management. Widely recognized as a knowledge management pioneer, in this extensive interview read what Dr. Malhotra has to say about knowledge, information, technology and chasing success in this field."
- Emerald Group Publishing Ltd (UK)

"Dr. Yogesh Malhotra in the US is a leader in the knowledge management field. In a recent article written for the US Journal for Quality & Participation, he has pointed to a problem in relation to organisations investing heavily in information technology but not realising gains in terms of knowledge creation."
- Irish Times, Ireland

"Be that as it may, there is no doubt that domestic enterprises, faced by a complete bankruptcy of knowledge and ideas, will, some day, understand the value of the knowledge held by their employees. In the meantime, they would do well to study the writings of Dr. Yogesh Malhotra, an authority on technology and innovation management, business performance, and corporate strategy issues related to information systems, knowledge management, e-business and electronic commerce, business decision models, and new organisation forms."
- The Hindu, A Major National Daily Newspaper, India

"Professor Yogesh Malhotra of Syracuse University, New York, and expert in this field, has recently argued that one of the reasons for this failure is that more often than not knowledge management is practiced in isolation and does not take into account the dynamism of the external environment."
- Malaysian Business, Malaysia
*Model Risk Management: Leading Industry Leaders & Setting the Benchmark
*Global RISK Management Network: CxO Think Tank that pioneered 'Digital'
*Global Footprint of Worldwide World-Leading CxO Risk Management Practices
*Worldwide and World Leading Finance, IT, and Risk Management Guidance

30-Years as World-Leading AI-Cyber-Global Digital Transformation Networks Pioneer:
Future of Post AI-Quantum Computing Built from Beta Version of the First WWW Browser

Digital Transformation - Artificial Intelligence: ML-DL-NLP-RPA - Cyber-Crypto Computing - Post AI-Quantum Computing