decrypting myths harmful . Others can scan vast amounts of code and automate the process of discovering vulnerabilities .
Can AI be the answer for all the SOC ’ s troubles ?
While AI can speed up – and scale up – the data analysis process , it ’ s not the ultimate solution . Regardless of developments in the technology , AI simply cannot replace cybersecurity experts .
People often perceive AI as eventually replacing humans . While that can ’ t be ruled out in the future , for now AI still has far too many issues for that to be a reality . By its very nature , AI is another system that can be targeted , which increases the attack surface available to cybercriminals . Such attacks can confuse the underlying Machine Learning model and bypass what the system is intended for . For example , Generative Adversarial Networks ( GANs ) can be used to fool facial recognition security systems or subvert voice biometric systems .
As we increasingly rely on AI – and therefore give it more responsibility – ethics and privacy need to be taken into account . As AI becomes more advanced , these will only become more important , and just adds to the argument against SOC being solely AI-powered .
Despite all its advancements , AI can only ever be as good as the data it is fed .
Ensuring fair AI for all
Despite all its advancements , AI can only ever be as good as the data it is fed . In order to maximise accuracy , AI systems require huge volumes of high-quality
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