An analysis from (ISC)² indicates the worldwide cybersecurity workforce needs to grow by 65% to adequately protect enterprises’ critical assets.
The Cybersecurity Workforce Study, which surveyed more than 4,700 cyber professionals working across North America, Europe, Latin America and Asia, attempted to measure the pool of available cyber talent in comparison to the need for such talent over 2021.
“For 2021, our study estimates there are 4.19 million cybersecurity professionals worldwide, which is an increase of more than 700,000 compared to last year,” the study states. “By contrast, the Cybersecurity Workforce Gap is the number of additional professionals that organizations need to adequately defend their critical assets. For the second consecutive year, the [gap] has decreased, down to 2.72 million compared to 3.12 million last year.”
Together, the data suggests the global cyber workforce needs to grow 65% to “effectively defend organizations’ critical assets,” according to (ISC)², a Florida-based nonprofit organization that specializes in IT training and certifications.
Study participants included cyber professionals with the titles of security administrator, security architect, IT manager, IT director, IT specialist, chief information security officer and chief information officer. In 2021, the U.S. saw a 30% increase in the number of cyber professionals, according to the study.
Respondents expressed high levels of job satisfaction in 2021, with 77% reporting they were “satisfied or extremely satisfied” with their jobs—more than 10% higher than the same study found in 2019. Job satisfaction was high among all three age demographics in the study, with only a 3% difference reported between Gen Z and Baby Boomers.
Mots-clés : cybersécurité, sécurité informatique, protection des données, menaces cybernétiques, veille cyber, analyse de vulnérabilités, sécurité des réseaux, cyberattaques, conformité RGPD, NIS2, DORA, PCIDSS, DEVSECOPS, eSANTE, intelligence artificielle, IA en cybersécurité, apprentissage automatique, deep learning, algorithmes de sécurité, détection des anomalies, systèmes intelligents, automatisation de la sécurité, IA pour la prévention des cyberattaques.
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