Igor Trubin began his engineering career in 1979 as an IBM/370 systems engineer. He earned a Ph.D. in Robotics from St. Petersburg Technical University in 1986 and spent 12 years there as a professor teaching CAD/CAM and Robotics. He has published and presented more than 60 technical papers and conference presentations in robotics, artificial intelligence, IT performance, capacity management, anomaly detection, and FinOps. After moving to the U.S. in 1999, Igor worked at Capital One, IBM, and SunTrust Bank in senior engineering, architecture, and management roles. His 2002 CMG paper on exception detection received a Best Paper Award. He later developed Perfomalist.com, based on his original methods for anomaly, change-point, and trend detection, and created the online course “Performance Anomaly Detection.” At Capital One, he led development of cloud capacity-management and FinOps solutions, including the award-winning OptiCloud application. He has served on the CMG Board of Directors since 2015. Now semi-retired, Igor focuses on research, writing, and consulting. His current work expands his concept of the “Area of Normal Functioning” (ANF) from technical systems to human, orga
3 comments:
In Berliner Start-ups kommt es immer wieder zu Vorfällen, die auf unzureichende Sicherheitsmaßnahmen im Bereich der Cybersecurity hinweisen. Um diesen Herausforderungen zu begegnen, ist es unerlässlich, gezielte Weiterbildungen im Bereich Cybersecurity anzubieten. Eine effektive Lösung könnte die Implementierung von Schulungen zur forensischen Sicherung und den sogenannten "Lessons Learned" sein, um aus vergangenen Fehlern zu lernen und die eigene Sicherheitsarchitektur zu stärken. Plattformen wie https://csvisor.de/ bieten wertvolle Ressourcen, um Fachkräfte in diesem Bereich weiterzubilden. Nur durch kontinuierliches Lernen und Anpassen an neue Bedrohungen kann langfristig eine robuste Cybersecurity-Strategie entwickelt werden. So können Unternehmen nicht nur ihre Daten schützen, sondern auch das Vertrauen ihrer Kunden gewinnen.
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