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CyberRisk Alliance

www.cyberriskalliance.com

 
CyberRisk Alliance is a business intelligence company created to serve the high-growth, rapidly evolving cybersecurity and information risk management marketplace through a diversified portfolio of services that inform, educate, build community and facilitate commerce. CyberRisk Alliance comprises an ensemble of highly specialized businesses producing information, events, digital marketing services and other professional intelligence resources with a shared mission of informing, educating and training business professionals on the subject of cybersecurity and information risk management, while building community and facilitating industry commerce. CyberRisk Alliance (CRA) will offer a range of business intelligence products delivering unique services of maximum value by publishing ...
  • Number of Employees: 25-100
  • Annual Revenue: $1-10 Million

Executives

Name Title Contact Details
Wayne Schepens
Chief Cyber Market Analyst Profile
Parham Eftekhari
Senior Vice President and Executive Director of Cybersecurity Collaborative Profile

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ITContingency

ITC is dedicated to providing reasonably priced advanced security solutions for schools, universities, office buildings, transportation hubs, malls etc... that leverage the Internet of Things (IoT), Artificial Intelligence (AI) and Neural Networks. Our Simpliot EWS solutions are designed to deliver any/all critical messages to multiple receiver units in less than one second; this enables to conduct lock downs and elevated risk warnings efficiently and pin point where the problems are, the core system provides a feedback loop from each room/class to the security team. The technology covers both indoor and outdoor applications and delivers solutions such as egress route safety. The EWS solutions deliver Command and Control capabilities that integrate seamlessly and instantly with Police and first responders. Our Simpliot EWS+ Advanced solutions, deliver Dynamic Threat Detection and D-Base Facial Recognition. Our software allows video cameras to become active instead of passive. The system detects drawn weapons such as hand guns, assault rifles or whatever we "teach" the Neural Network to detect. the system operates a probability algorithm and can lock down an office building or school at pre-set thresholds; for example if the system has a 90% or above probability that the object detected is a weapon, it can lock down the building or campus within milliseconds. Our D-Base Facial Recognition operates in a similar manner, the database can include, students, faculty, parents, nanny`s etc... and can also include local sexual predators and/or criminals.