The cybersecurity industry is fascinated by artificial intelligence (AI), which has the ability to completely change how security and IT teams respond to cyber crises, breaches, and ransomware assaults.
However, it’s important to have a realistic knowledge of the capabilities and limitations of AI, and there are a number of obstacles that prevent the technology from having an instant, profound influence on cybersecurity. In this article, we examine the limitations of AI in dealing with cybersecurity issues while emphasising the part played by organisations in empowering resilience and data-driven security practices.
Inaccuracy
The accuracy of its output is one of AI’s main drawbacks in cybersecurity. Even though AI systems, like generative pre-trained transformers like ChatGPT, can generate content that is in line with the internet’s zeitgeist, their answers are not necessarily precise or trustworthy.
AI systems are excellent at coming up with answers that sound logical, but they struggle to offer accurate and trustworth
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