How AI Is Useful for Cybersecurity

Artificial intelligence has advanced greatly in the past decade. On my phone, I’m reading Apple and Google news that is well-tailored to me, thanks to AI recommendation models. Self-driving cars are already picking up passengers for rides in downtown San Francisco.

The same transformation is happening in the cybersecurity world too. However, questions remain: Will AI replace security professionals? Or will AI still be as useful in the zero-trust era given that access is tightened to the minimum already?

AI was introduced to the center stage of the cybersecurity industry a few years ago, originally to tackle malware detection and anomaly detection use cases. We have come a long way to better understand both the usefulness and the limitations of applying AI to cybersecurity, especially in the zero-trust era.

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Mots-clés : cybersécurité, sécurité informatique, protection des données, menaces cybernétiques, veille cyber, analyse de vulnérabilités, sécurité des réseaux, cyberattaques, conformité RGPD, NIS2, DORA, PCIDSS, DEVSECOPS, eSANTE, intelligence artificielle, IA en cybersécurité, apprentissage automatique, deep learning, algorithmes de sécurité, détection des anomalies, systèmes intelligents, automatisation de la sécurité, IA pour la prévention des cyberattaques.