Recent Case Study Research - Cybersecurity Skills Drive Economic Growth

The key findings include improving support for cybersecurity education, establishing coordination and collaboration between the public and private sectors, improving information-sharing structures, and creating an inventory of critical infrastructure assets at a national level. Our new framework addresses these concerns by examining national cybersecurity strategy, the current state of the cyber workforce (skill set), current cybersecurity challenges, and the current impact of cybercrime on economic sectors. Governments and stakeholders in developing countries can benefit from this framework because the case study research on Guyana has external and internal validity.

Cybersecurity Skills as a Driver for Economic Growth in Developing Nations: A Guyana Case Study

Get a Copy from ProQuest (Pub ID: 28863160): Explore Research

Current Research on Financial Cybersecurity - Assessing Critical Applications Cost and Cybersecurity Risk Management

The use of data allows firms categorized as financial service bureaus to improve capabilities derived from information technology. Capabilities to use data require understanding where knowledge can be obtained across the technology infrastructure and what insights are essential to inform the cybersecurity risk decision-making process. Determining requisite capabilities to better use insights from applications and supporting infrastructure is fundamental to developing innovative strategies that protect this segment of the financial sector. Review Proposal

Artificial Intelligence: Training on Real Estate Tools

Training that focuses on developing AI technology from inception to implementation. Solutions that allow businesses to implement and realize the most impossible ideas, solve difficult tasks, automate business processes, and create competitive advantages. AI Training Program

R&D: Critical Application Cost and Cybersecurity Risk Management Platform (CSRAMP-D)

The Critical Application Cost and Cybersecurity Risk Management Platform delivers an enterprise solution for application cost management with Active Cyber Defense (ACD), resilience, and continuity. It uses Artificial Intelligence in tandem with Data Science to provide operational and situational awareness. The underlining framework is backed by research in Financial Cybersecurity - Assessing Critical Applications Cost and Cybersecurity Risk Management

R&D: On Demand Payment Technologies

The Defender platform employs cutting-edge Artificial Intelligence, Machine Learning, and Blockchain technologies to process both incoming and outgoing payment messages received from banks using Defender’s APIs. Defender collaborates with technology partners to allow banks and third-party payment providers (TPPs) to confirm the identity of payees (Confirmation of Payee) and detect fraudulent payments using our (patent pending) KYPayee and AVAssess fraud detection models. For this product, Blockchain provides inherent immutability which is essential to maintaining the auditability and integrity of real-time KYPayee and AVAssess analysis and alerts. Real-Time Payment Fraud Detection

R&D: eFraudDetect

A payment platform that includes Transaction Risk Analysis (TRA) - comprises transaction Interface, Fraud Detection Engine (FDE) based on Artificial Intelligence, Database, and Feature and Rules Engineering. The interface comprises Query and Data streams. The Fraud Detection Engine is updated on a database storing the details of payment transactions represented by a set of features and rules engineered within the payment platform. Fraudulent transactions are defined as rare positive events whilst massive normal transactions are negative events. A large disproportion between fraudulent and normal transactions makes FD tasks imbalanced, that is positive events are largely underrepresented. To deal with imbalance problems, conventional AI-based solutions require additional parameters that have to be empirically fitted to the problem because analytically tractable solutions to the imbalance problem are absent in practice. AI-Based Fraud Detection Algorithm

CONTINUED WORK: Quantitative Analysis of Cybersecurity Knowledge and Skills Data

The challenge is that many countries and their institutions lack a cybersecurity workforce. To support recent research, 1GCYBER has developed a framework: Capability & Skills Modeling for Operational Awareness. Explore Recent Workshop

Gangs & Delinquent Youth Avoidance: Cybersecurity Education for Social Transformation (EST) in New York City and State

Vision: The vision of this program is to create clear incentives, core education, institutional knowledge, strategic focus on vulnerable youths, and training pathways that lead to cybersecurity apprenticeships and jobs.

Mission: To provide cyber security apprenticeship and work opportunities for vulnerable people through education for social transformation.

Background: The increase in financial and payment fraud has caused a significant economic impact on business and society. The constant data breaches across New York enervates organizations’ ability to recover after an incident. The slow recovery has a direct impact on the overall economy and profit growth. The root cause of these issues is the lack of a cybersecurity workforce with the requisite knowledge, skills, and abilities to securely implement and operate essential infrastructure and digital services. To protect future growth, programs must be implemented to find skilled professionals from a diverse population of young and eager cyber operators. A program that develops advanced cybersecurity capabilities through the lens of a socio-technical system will address the issue from the ground up. Sociotechnical systems (STC) underpin our society but combining this with Education for Social Transformation (EST) will ensure that the mission of combatting cybercrime has the appropriate goals and objectives, processes and procedures, cultural changes, and advanced understanding of relevant technology.

Gangs & Delinquent Youth Avoidance Cybersecurity Education for Social Transformation (EST) in New York City and State

Open to Collaboration: Explore Proposal

Occupation Data - Advanced Model for Small Nation Development

Exploring the development of advanced neural networks and artificial intelligence capabilities to support government policies and strategies.

National Data: Employment Rates by Region

Key Points from our Continued Research

It is very difficult to measure cybersecurity competency across an organization. The pillars of competency are the knowledge and skills of the workforce. These persist through the cyclical and temporal dimensions of risk.

Executive Summary: Cybersecurity in Developing Countries

Organization and Methodology [Partial]: Strategic, Tactical, & Operational Capability Development

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