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The 7 most in-demand cybersecurity skills today
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Collecting Cyber-News from over 60 sources

Cybersecurity teams find themselves understaffed, overburdened, and rushing to keep up with a rapidly changing threat landscape, as cyberattackers continually devise new ways to attack organizations, and organizations accelerate their embrace of the latest technologies.As a result, security professionals must continually upskill themselves to ensure they keep pace with organizations’ latest skill demands. Unfortunately, deciding what skills to develop can be challenging, as there are a dizzying number of branches on the cybersecurity skill tree, and security professionals may not know what will produce the best return, now and in the years to come.In a recent survey of 7,698 hiring managers and 8,154 non-hiring managers in cybersecurity worldwide, cybersecurity training organization ISC2 sought insights into the most pressing, in-demand skills for security pros today. Both groups shed important light on their organizations’ talent gaps. Non-hiring managers see what skills in their peers are prioritized for hiring and promotions and are themselves key influencers in such decisions.Hiring managers, of course, are the ultimate judge: By choosing one candidate over another, they vote for the most valuable skills with the time and effort they will invest into managing, leading, and training the new hire.Following are these skills in reverse order, ascending to the most prized and in-demand skill today. Hiring manager preference (according to ISC2): 24%Non-hiring manager preference (according to ISC2): 33%AI and ML may dominate the headlines, but they are not the top skills sought after today. ISC2 states that the reason is timing: Hiring managers prioritize skills that produce an immediate benefit, and they view AI and ML as skills with a more long-term horizon. This thinking matches a recent Gartner prediction, as the research firm believes that 17% of all cyberattacks will one day involve generative AI, but not until 2027.AI and ML encompass domain knowledge of how these technologies may be used against enterprises. For example, jailbroken or local large language models (LLMs) may be harnessed by criminals to execute social engineering attacks, such as spear phishing, much more quickly and at scale. Hackers can also inject malicious inputs into LLMs in what is known as a prompt injection, one of several key LLM vulnerabilities enterprise security teams must be prepared for.Cybersecurity professionals may also employ AI and ML to protect their organizations. For instance, companies can use AI and ML to detect anomalies representing a specific type of threat, such as a ransomware attack, and automatically take preventive action by isolating the targeted device or network. The company can learn from these inputs and improve predictive security for the future.AI and ML are crucial to organizations. With the existing talent gap stretching cybersecurity teams thin, enterprises should minimize their reliance on manual processes. By automating cybersecurity processes, companies can reduce human error involved in security vulnerabilities, enable staff to focus on higher-level or more strategic initiatives, and fend off more attacks.Relevant certs:

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