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The Cyber Defense eMagazine February Edition for 2024

Cyber Defense eMagazine February Edition for 2024 #CDM #CYBERDEFENSEMAG @CyberDefenseMag by @Miliefsky a world-renowned cyber security expert and the Publisher of Cyber Defense Magazine as part of the Cyber Defense Media Group as well as Yan Ross, Editor-in-Chief and many more writers, partners and supporters who make this an awesome publication! 155 page February Edition fully packed with some of our best content. Thank you all and to our readers! OSINT ROCKS! #CDM #CDMG #OSINT #CYBERSECURITY #INFOSEC #BEST #PRACTICES #TIPS #TECHNIQUES

Cyber Defense eMagazine February Edition for 2024 #CDM #CYBERDEFENSEMAG @CyberDefenseMag by @Miliefsky a world-renowned cyber security expert and the Publisher of Cyber Defense Magazine as part of the Cyber Defense Media Group as well as Yan Ross, Editor-in-Chief and many more writers, partners and supporters who make this an awesome publication! 155 page February Edition fully packed with some of our best content. Thank you all and to our readers! OSINT ROCKS! #CDM #CDMG #OSINT #CYBERSECURITY #INFOSEC #BEST #PRACTICES #TIPS #TECHNIQUES

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any perishable good, data has a shelf life. Processing the right data unlocks endless possibilities, as AI<br />

plays a pivotal role in data management by enhancing efficiency and accuracy in categorization<br />

processes. Machine learning algorithms, learning from patterns, automatically tag and categorize data<br />

based on predefined criteria, accelerating the categorization process while ensuring consistency and<br />

accuracy, thus mitigating the risk of both human and machine learning errors (apart from the enormous<br />

time saved in contrast to manual review and automation of a repetitive task). This underscores the critical<br />

connection between technological advancements, data management, and national security imperatives.<br />

Continuously revisiting the data lifecycle and its management, particularly with the integration of AI, is<br />

crucial. Implementing a structured approach to managing data, from creation to disposal, ensures the<br />

utilization of AI in enhancing efficiency and accuracy. Protocols <strong>for</strong> data retention periods, archival<br />

processes, and secure disposal methods must be defined to minimize risks associated with retaining<br />

unnecessary or outdated data.<br />

About the Author<br />

Dr. Pragyansmita Nayak is the Chief Data Scientist at Hitachi Vantara<br />

Federal (HVF). She explores the "Art to the Science" of solution<br />

architectures orchestrating data, APIs, algorithms, and applications. She<br />

has over 25+ years of experience in software development and data<br />

science (Analytics, Machine Learning and Deep Learning). She has led<br />

projects <strong>for</strong> several Federal Government agencies (DoD/Civilian) in the<br />

domain of Federal Accounting, Operational Analytics, Data Fabric, Object<br />

Storage, Metadata management, Records Management and Data<br />

Governance. She holds a Ph.D. in Computational Sciences and<br />

In<strong>for</strong>matics from GMU (Fairfax, VA) and Bachelor of Science in Computer<br />

Science. For more in<strong>for</strong>mation on Pragyan's professional experience,<br />

please visit her LinkedIn and Twitter profiles.<br />

<strong>Cyber</strong> <strong>Defense</strong> <strong>eMagazine</strong> – <strong>February</strong> <strong>2024</strong> <strong>Edition</strong> 120<br />

Copyright © <strong>2024</strong>, <strong>Cyber</strong> <strong>Defense</strong> Magazine. All rights reserved worldwide.

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