3 skills could make or break your cybersecurity career in the generative AI era

Key Takeaways:

– Steve Cobb is SecurityScorecard’s CISO with 25 years of leadership consulting in IT infrastructure, cybersecurity, incident response, and cyber threat intelligence.
– Generative AI is advantageous for cybersecurity careers, automating threat data analysis and allowing professionals to focus on mitigating risks.
– Lateral thinking, persistence, and communication are important soft skills for cybersecurity candidates.
– Lateral thinking is crucial in cybersecurity as candidates must be able to quickly pivot when addressing risks and threats in real-time.
– Generative AI introduces data security and privacy concerns that candidates should be aware of.
– Security professionals should be proactive in understanding how new threats can bypass existing tools and processes.
– Situational questions can help gauge a candidate’s lateral thinking skills.

TechCrunch:

Indeed reports that almost one in five jobs are highly exposed to generative AI. The technology has proved advantageous for cybersecurity careers, automating threat data analysis and allowing cybersecurity professionals to focus more on mitigating the risks. And let’s face it, considering the number of high-profile breaches we’ve seen in recent months, from MOVEit to Johnson Controls, cybersecurity pros need all the help they can get.

Generative AI can be a powerful tool for identifying new risks and alerts, but using it requires a unique skill set. When interviewing cybersecurity candidates, I look for three critical soft skills: lateral thinking, persistence, and communication.

1. Lateral thinking

While many employers emphasize problem-solving skills in job descriptions, the ability to think outside the box is imperative in cybersecurity. Candidates must be able to quickly pivot when addressing risks and threats in real-time. For example, a good candidate with lateral thinking skills will consider how new technologies like generative AI can be integrated into existing resources to identify security risks more quickly and streamline operations.

Candidates must be able to quickly pivot when addressing risks and threats in real time.

In addition to its benefits, generative AI introduces data security and privacy concerns that we can’t disregard. While candidates should know how to use this technology to their advantage, they must also understand how large language models (LLMs) can leverage and compromise organizations’ internal data. Unsurprisingly, nearly half of executives worry that the integration of generative AI will result in new attacks against their AI models, services, or data. Security professionals should be proactive and question how new threats can bypass existing tools and processes. They must be able to seek new ways to approach challenges, whether it’s assuming the attacker’s point of view or discovering new vulnerabilities.

To gauge whether a candidate possesses lateral thinking skills, the interviewer should focus on situational questions demonstrating how they used different resources to overcome a challenge. I often ask, “Tell me about a time when you faced significant ambiguity or limited information and had to take action.”

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AI Eclipse TLDR:

The summary discusses the benefits and challenges of using generative AI in cybersecurity. It highlights that one in five jobs are highly exposed to generative AI and explains how this technology can automate threat data analysis and allow cybersecurity professionals to focus on mitigating risks. The article emphasizes the importance of three critical soft skills for cybersecurity candidates: lateral thinking, persistence, and communication. It explains that lateral thinking is essential for quickly addressing risks and suggests integrating new technologies like generative AI into existing resources to identify security risks more efficiently. However, it also mentions the data security and privacy concerns associated with generative AI and the need for security professionals to be proactive in understanding and mitigating these risks. The interviewer should focus on situational questions to gauge a candidate’s lateral thinking skills.