Career Development in Tech
Showing 1 - 4 of 4 posts
We recently sat down with our advisory board — professionals working across security operations, AI, software engineering, and governance — and asked a simple question: what should students actually be focusing on today if they want to break into cybersecurity? The conversation was honest, and in some ways, a bit of a reality check.
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For much of the past two years, conversations about artificial intelligence and early-career talent have been dominated by fear. Headlines warned of shrinking entry-level roles, automated junior tasks, and a future where graduates and career starters would struggle to gain a foothold in the workforce. In sectors such as technology, cybersecurity, professional services and finance, the concern was particularly acute: if AI can draft, analyse, test and automate, what is left for those at the start of their careers? However, a more nuanced and, arguably, more encouraging picture is beginning to emerge. While AI is undeniably reshaping how work is done, many organisations are moving away from a narrative of replacement and towards one of reconfiguration. Early talent is not disappearing; instead, its role is being redefined.
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Looking back at Elena Z. path, it’s clear that her success in cybersecurity isn’t just about titles or roles—it’s about the skills she mastered along the way. These skills, honed in seemingly unrelated industries, became the backbone of her leadership in security.
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Think you need a computer science degree to get into cybersecurity? Think again. Meet Elena Z, whose career path proves that curiosity, adaptability, and a knack for solving complex problems can take you from finance in retail to enterprise security leadership.
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