Cybersecurity Talent Gap Stalls Investment, Threatens Resilience
Event summary
- Fortinet's 2026 Global Cybersecurity Skills Gap Report reveals a persistent shortage of cybersecurity talent, hindering organizational resilience.
- 86% of organizations experienced at least one breach in the past year, with the average breach costing $2 million in North America.
- 49% of IT leaders struggle to secure approval for additional cybersecurity talent despite 50% facing penalties after cyberattacks.
- Organizations are increasing investment in cybersecurity certifications, with 92% willing to pay for employee training, up from 73% in 2025.
- 63% of respondents anticipate a need for AI oversight and governance roles within cybersecurity teams over the next three years.
The big picture
Fortinet's report highlights a critical vulnerability within the global cybersecurity landscape: a widening skills gap that is directly impacting organizational resilience and financial stability. The increasing cost of breaches, coupled with the difficulty in securing talent and the emerging risks associated with AI adoption, suggests that cybersecurity is no longer solely a technical concern but a core business risk requiring board-level attention and strategic investment. The report underscores the need for a more proactive and holistic approach to cybersecurity, blending technology, processes, and, crucially, skilled personnel.
What we're watching
- Governance Dynamics
- The disconnect between board awareness of AI-related cybersecurity risks and the practical implementation of mitigation strategies will likely intensify pressure on CISOs and IT leadership.
- Talent Acquisition
- The increased willingness to pay for certifications suggests a shift towards more formalized and potentially expensive talent acquisition strategies, which may exacerbate existing budget constraints.
- AI Integration
- The demand for AI oversight roles will likely outpace the supply of qualified candidates, forcing organizations to prioritize internal training and potentially delaying broader AI adoption.
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