With the dearth of qualified tech professionals in the industries like cybersecurity there is an increasing demand for trained experts. Finding the right candidate with the necessary skill set can take time. While looking for specific technical skill sets, many professionals from other industries can also be a good fit for joining a cybersecurity team. In this article, we will explore five such roles that can be perfect for transiting career to a cybersecurity team.
Software engineers have a wide range of technical abilities, including coding and software development. They also comprehend the complexities of developing a secure application. As a result, they are well-suited for a variety of cybersecurity tasks. For example, by introducing security features at the code level, they can be used to create applications that are more resistant to cyber-attacks.
IT support specialists have strong analytical skills, which allow them to identify problems and devise solutions quickly. Their ability to think critically qualifies them to investigate security incidents and track down malicious actors. Furthermore, they are knowledgeable in various hardware and software systems, which is critical in comprehending the implications of cyber threats.
Network architects understand networking technologies and are skilled at setting up secure networks. While not all security roles necessitate in-depth technical knowledge, network architects are well-suited to design secure networks and implement security measures. They can also assess existing systems for vulnerabilities and recommend risk-mitigation solutions.
Cloud specialists are familiar with cloud providers' powerful security services, such as identity and access management (IAM). They can use these services to ensure that only authorised individuals have access to sensitive data stored in the cloud. Furthermore, cloud specialists are familiar with the various security risks associated with cloud technologies and can offer valuable advice on how to mitigate them.
The ability of machine-learning algorithms to detect patterns in large datasets is well understood by AI developers. As a result, they can be used in real-time to detect and respond to security threats. AI developers can use specialised skills to build AI-assisted security solutions and powerful penetration testing tools.
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