
NINJIO is an all-in-one cybersecurity awareness training solution that lowers human-based cybersecurity risk through engaging training, personalized testing, and insightful reporting. This multi-pronged approach to training focuses on the latest attack vectors to build employee knowledge and the behavioral science behind human engineering to sharpen users’ intuition. Our proprietary NINJIO Risk Algorithm™ identifies users’ social engineering vulnerabilities based on phishing simulation data and informs content delivery to provide a personalized experience that changes individual behavior.
With NINJIO you get:
- NINJIO AWARE attack vector-based training that engages viewers with Hollywood style, micro learning episodes based on real hacks.
- NINJIO PHISH3D simulated phishing identifies the specific social engineering tricks most likely to fool users in your organization.
- NINJIO SENSE is our new behavioral science-based training course that shows employees what it “feels like” when hackers are trying to manipulate them.
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SPEC Innovations’ leading model-based systems engineering solution is designed to help your team minimize time-to-market, reduce costs, and mitigate risks, even with the most complex systems. Available as both a cloud-based and on-premise application, it offers an intuitive graphical user interface accessible through any modern web browser.
Innoslate's comprehensive lifecycle capabilities include:
• Requirements Management
• Document Management
• System Modeling
• Discrete Event Simulation
• Monte Carlo Simulation
• DoDAF Models and Views
• Database Management
• Test Management with detailed reports, status updates, results, and more
• Real-Time Collaboration
And much more.
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MediSim VR
MediSim VR is revolutionizing the field of healthcare by utilizing virtual reality for medical training, providing immersive simulations that enhance skills, minimize mistakes, and elevate the quality of patient care. Our dedication lies in transforming healthcare into a universally accessible reality by fortifying the global healthcare system. With our advanced technology and innovative educational approaches, we empower healthcare professionals to thrive in their positions, lower the incidence of medical errors, and enhance care standards, all while ensuring that the future of healthcare is both empathetic and efficient. Our cutting-edge virtual reality platform represents a significant advancement in medical education. MediSim VR's Skill Training in VR offers practitioners engaging, hands-on experiences that bolster their competencies, leading to superior patient outcomes and enhanced care. Our patented simulation lab not only allows institutions to create new standards for healthcare training but also fosters a culture of continuous improvement and excellence in medical practice.
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Gaumard
Based in Miami, Florida, Gaumard Scientific specializes in developing advanced simulators for leading teaching hospitals, nursing schools, military medical training, and emergency medical services. Established in 1946, the company boasts more than 75 years of expertise in healthcare simulation, creating cutting-edge patient simulators, task trainers, educational modules, and mixed reality tools aimed at providing safe and effective training experiences for healthcare students and professionals across a wide range of clinical specialties. Their diverse product range features high-fidelity simulators, meticulously designed to offer realistic training scenarios in critical fields such as obstetrics, emergency care, pediatrics, and nursing. A prime example of their innovation is VICTORIA, a comprehensive birthing simulator that can accurately replicate a variety of childbirth events, from standard vaginal deliveries to C-sections, while also incorporating potential complications, thus allowing healthcare professionals to refine their skills in managing complex medical situations. This commitment to enhancing training through realistic simulations ensures that healthcare providers are well-prepared for the challenges they may face in real-world scenarios.
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