CISCO Publishes Anomaly Detection Article Featuring the QCM

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Como, December 19-th, 2019. CISCO has published an article on Anomaly Detection which features QCM - Quantitative Complexity Management by Ontonix. The article postulates that “zero trust and complexity management represent a new basic combination for a closed-loop approach to anomaly detection and mitigation for critical infrastructures.” The article is available at CISCO’s blog.

“Thanks to the QCM we no longer need to define anomalies in advance and then train a Machine Learning algorithm to recognize them”, said Dr. J. Marczyk, the founder of Ontonix. “A sudden spike in complexity is an anomaly in itself for which training isn’t necessary. The number of anomalies that can emerge in complex systems and infrastructures is immense and it is a practical impossibility to define them all and then to train an ML tool to recognize them. Besides, training for anomalies in complex and expensive systems requires numerous examples of the said anomalies and this is a luxury that one can very rarely afford”, he added. “The article introduces for the first time the concept of complexity-based control, which allows one to drive the complexity of a given system to desired levels” he concluded.

About CISCO

Cisco Systems, Inc. is an American multinational technology conglomerate headquartered in San Jose, California, in the center of Silicon Valley. Cisco develops, manufactures and sells networking hardware, software, telecommunications equipment and other high-technology services and products. Visit site.

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Dr. Jacek Marczyk

Visionary, ex rocket scientist, businessman and writer with over 35 years of experience in QUANTITATIVE large-scale Uncertainty and Complexity Management in diverse fields (manufacturing, finance, economics).

Author of ten books on simulation, uncertainty and complexity management, rating.

Developed in mid 90s the theory of eigenvalue orbits, a generalization of the concept of eigenvalue.

In 2000-2005 has developed the first Quantitative Complexity Theory (QCT), including a comprehensive measure of complexity.

Founded Ontonix Complexity Management in 2005 in the USA and launched in 2006 the first commercial system for MEASURING and managing complexity: OntoSpace.

www.ontonix.com

In 2009 developed real-time technology to measure the complexity and stability of patients during operation or permanence in Intensive Care Units.

http://www.ontomed.net

Developed a new theory of risk and rating published in 2009 in a book entitled "A New Theory of Risk and Rating".

Over last decade develops quantitative complexity management (QCM) technology and solutions for applications in economics, finance, Risk Rating and Management as well as in Asset Management and medicine. In the past five years works towards the democratization of ratings.