Deep learning delivers proactive cyber defense

Cybersecurity professionals are constantly looking for new and innovative ways to stay one step ahead of attackers. Yet in the first quarter of 2022 alone, there were 404 publicly reported data breaches in the U.S.—a 14% increase compared to the first quarter of 2021, according to the Identity Theft Resource Center. Of particular concern is the alarming rise in ransomware breaches, which increased by 13% in a single year—representing a jump greater than the past five years combined, according to the 2022 Verizon Data Breach Investigations Report (DBIR).

No wonder an increasing number of organizations are beginning to explore how deep learning, and its ability to mimic the human brain, can outsmart and outpace the world’s fastest and dangerous cyber threats.

The most advanced form of artificial intelligence (AI) technology, and a type of machine learning, deep learning uses neural networks to instinctively and autonomously anticipate and prevent unknown malware and zero-day attacks before they can wreak havoc on an IT environment.

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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.