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Is AI saving jobs… or taking them?
- AI is helping to increase the demand for cybersecurity professionals in two broad ways. First, malicious actors use AI to get past security defenses and raise the overall risk of data breaches. Second, the deployment of AI expands the attack surface at organizations and the number of vectors available for attackers to exploit.
- Third, the proliferation of data across multiple environments to feed AI increases the complexity of securing it and necessitates further specialized skills, increasing job demand.
- As generative AI is integrated into cybersecurity tools and becomes more capable as an informational chatbot, development tool and more, the need for people to do a wide range of tasks diminishes.
- AI tools will partially automate penetration testing, reducing demand for lower-level or entry-level pen testers.
- AI threat intelligence is already a huge boon to security teams. AI can process and analyze vast quantities of data much faster than people, potentially reducing the demand for threat intelligence analysts.
- Generative AI tools can augment human knowledge with quickly accessible knowledge.
- AI is reducing the need for cybersecurity professionals to perform a large number of tasks that can be automated. AI is also greatly increasing the capabilities of staff by empowering them to do far more work in a shorter amount of time than without AI. But it’s also radically expanding the complexity of the overall project of cybersecurity.
- New job specialties are emerging, including AI cybersecurity specialists and cybersecurity data scientists.
- While AI handles threat detection, log analysis, vulnerability assessments and the like, the human skill set will continue to shift towards strategy, planning, problem-solving and decision-making.
- The skills gap remains, and opportunities in the cybersecurity field are myriad and expanding. While AI is a powerful and increasingly indispensable tool, human expertise, skill and judgment are still necessary.
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