At Lionfish Cyber Security, our Research and Development (R&D) Department stands as a cornerstone of innovation and forward-thinking in the cybersecurity landscape. Anchored by a vision to lead and transform the industry, our R&D team is dedicated to advancing the frontiers of cyber security technology. Through rigorous academic research and pioneering development efforts, we strive to stay ahead of emerging threats, continuously enhancing our capabilities to protect and serve our clients.

Our mission in R&D is clear: to develop cutting-edge solutions that not only respond to current cybersecurity challenges but also anticipate and mitigate future risks. This commitment to excellence and innovation in R&D reflects our overarching goal to provide state-of-the-art security solutions, ensuring our clients are always one step ahead in a rapidly evolving digital world.

Lionfish Cyber Security’s Research and Development Department is at the forefront of cybersecurity innovation, actively engaged in projects that are setting new standards in digital protection and threat intelligence. Our current projects embody our commitment to excellence, each driven by a specific purpose, defined objectives, and the potential to significantly impact the cybersecurity landscape. Here’s a glimpse into our ongoing endeavors:

At Lionfish Cyber Security, our R&D Department is fervently advancing in several groundbreaking projects that epitomize our dedication to integrating artificial intelligence (AI) into the realm of cybersecurity and beyond. These initiatives represent our commitment to innovation and excellence:

Published:

  1. Enhancing Cyber Resilience with AI-Powered Cyber Insurance Risk Assessment: This project, led by Shadi Jawhar, Jeremy Miller, Creig Kimble, and Zeina Bitar, delves into using AI to augment the entire cyber insurance lifecycle. Accepted by IEEE and to be presented at CCWC’2024, this study demonstrates how AI can significantly enhance cybersecurity resilience, crucial for cyber security professionals.

    https://ieeexplore.ieee.org/abstract/document/10427965

    Abstract:

    The effective use of artificial intelligence (AI) to enhance cyber security has been demonstrated in various areas, including cyber threat assessments, cyber security awareness, and compliance. AI also provides mechanisms to write cybersecurity training, plans, policies, and procedures. However, when it comes to cyber security risk assessment and cyber insurance, it is very complicated to manage and measure. Cybersecurity professionals need to have a thorough understanding of cybersecurity risk factors and assessment techniques. For this reason, artificial intelligence (AI) can be an effective tool for producing a more thorough and comprehensive analysis. This study focuses on the effectiveness of AI-driven mechanisms in enhancing the complete cyber security insurance life cycle by examining and implementing a demonstration of how AI can aid in cybersecurity resilience.
    Date of Conference: 08-10 January 2024
    Date Added to IEEE Xplore13 February 2024
    ISBN Information:
    Publisher: IEEE
    Conference Location: Las Vegas, NV, USA
  2. AI-Based Cybersecurity Policies and Procedures: Spearheaded by the same team, this research emphasizes the role of AI in formulating effective cybersecurity policies and procedures. Accepted for ICAIC’2024, it underscores AI’s capability to rapidly generate precise and effective digital defense policies, addressing the needs of both private and public sectors.

    https://ieeexplore.ieee.org/abstract/document/10433845 

    Abstract:

    The use of artificial intelligence (AI) in cyber security [1] has proven to be very effective as it helps security professionals better understand, examine, and evaluate possible risks and mitigate them. It also provides guidelines to implement solutions to protect assets and safeguard the technology used. As cyber threats continue to evolve in complexity and scope, and as international standards continuously get updated, the need to generate new policies or update existing ones efficiently and easily has increased [1] [2].The use of (AI) in developing cybersecurity policies and procedures can be key in assuring the correctness and effectiveness of these policies as this is one of the needs for both private organizations and governmental agencies. This study sheds light on the power of AI-driven mechanisms in enhancing digital defense procedures by providing a deep implementation of how AI can aid in generating policies quickly and to the needed level.
    Date of Conference: 07-09 February 2024
    Date Added to IEEE Xplore16 February 2024
    ISBN Information:
    Publisher: IEEE
    Conference Location: Houston, TX, USA
  3. AI-Driven Customized Cyber Security Training and Awareness: This initiative focuses on leveraging AI to enhance cybersecurity education and awareness comprehensively. Also accepted for ICAIC’2024, the project, led by Shadi Jawhar, Jeremy Miller, and Zeina Bitar, explores the efficiency of AI mechanisms in improving the entire cybersecurity education lifecycle.

    https://ieeexplore.ieee.org/abstract/document/10433829

    Abstract:

    Artificial intelligence (AI) has been successfully used in cyber security for enhancing comprehending, investigating, and evaluating cyber threats. It can effectively anticipate cyber risks in a more efficient way. AI also helps in putting in place strategies to safeguard assets and data. Due to their complexity and constant development, it has been difficult to comprehend cybersecurity controls and adopt the corresponding cyber training and security policies and plans. Given that both cyber academics and cyber practitioners need to have a deep comprehension of cybersecurity rules, artificial intelligence (AI) in cybersecurity can be a crucial tool in both education and awareness. By offering an in-depth demonstration of how AI may help in cybersecurity education and awareness and in creating policies fast and to the needed level, this study focuses on the efficiency of AI-driven mechanisms in strengthening the entire cyber security education life cycle.
    Date of Conference: 07-09 February 2024
    Date Added to IEEE Xplore16 February 2024
    ISBN Information:
    Publisher: IEEE

    Conference Location: Houston, TX, USA

Submitted for review:

Accepted for Publishing Presenting May 13-13, 2024 In Utah

1. AIUniGuide: AI-Powered Customized University Career Guidance: This project extends the application of AI beyond cybersecurity, aiming to revolutionize university career guidance. It proposes an AI-integrated web application to provide personalized educational pathways and career recommendations, assisting students in making informed decisions about their academic and professional futures.

2. Elevating Cyber Workforce Capabilities Using AI: This study investigates how AI can uplift the skills of cybersecurity professionals. It examines AI’s role in various cybersecurity components, from threat detection to incident response, and evaluates tools used by cyber teams, offering recommendations to enhance their efficiency and responsiveness to evolving cyber threats.

Each of these projects not only cements Lionfish Cyber Security’s position as a leader in AI-driven cybersecurity solutions but also highlights our broader commitment to harnessing AI for educational and professional development.

In the realm of Research and Development, Lionfish Cyber Security has consistently pushed the boundaries of innovation and excellence. Our department’s journey is marked by significant achievements and breakthroughs, underscoring our commitment to pioneering advancements in cybersecurity. A hallmark of our success is our AI training methodology, which has recently achieved a milestone with Patent Pending status, #17941843.

The Patent Pending #17941843 by Lionfish Cyber Security introduces a groundbreaking AI-driven method for optimizing employee training and compliance audits. This innovative approach uses aggregated data and AI modules to predict and tailor an optimal training trajectory for each employee, incorporating dynamic adjustments based on performance metrics. The system, implemented via a sophisticated server setup, also extends to compliance audit cycles, analyzing various metrics to enhance audit outcomes. This comprehensive method emphasizes personalized training schedules, continuous progress tracking, and detailed reporting for managers, clients, and employees, thereby elevating the efficiency and effectiveness of training and compliance processes in organizations.

At Lionfish Cyber Security, our unwavering commitment to innovation is vividly embodied in our dynamic collaborations with leading universities. These strategic alliances are more than just partnerships; they are a fusion of academic insight and practical expertise, driving us to the forefront of cyber security evolution. By synergizing with academic institutions, we are not just tapping into new ideas and research; we are shaping the future of cybersecurity, today.

As we look to the horizon, Lionfish is charting a bold course towards redefining the future of compliance. Our R&D focus is sharply set on pioneering advanced solutions in the realm of artificial intelligence and quantum computing, tailored to meet the escalating challenges of cyber threats. Our ambition is to not just respond to these challenges but to stay ahead of them. We are dedicated to developing revolutionary cyber defense mechanisms and enhancing predictive analytics to preemptively identify and neutralize threats. This journey towards innovation isn’t just about advancement; it’s about leading a transformative shift in the cyber security landscape, ensuring our clients are equipped with the most resilient and forward-thinking solutions for an ever-evolving digital world.