Google fraud czar Shuman Ghosemajumder has said that AI will be used to completely automate most cyber security operations over time. Suspect user behavior: Machine learning can identify fraud or compromised applications as they occur.Application security: can help counterattacks such as server-side request forgery, SQL injection, cross-site scripting, and distributed denial-of-service.Endpoint protection: Attacks such as ransomware can be thwarted by learning typical malware behaviors.Network protection: Machine learning improves intrusion detection systems by broadening the search beyond previously identified threats.

Īpplications of AI in cyber security include: Cyber security Ĭyber security companies are adopting neural networks, machine learning, and natural language processing to improve their systems. AI has been used to predict the ripening time for crops such as tomatoes, monitor soil moisture, operate agricultural robots, conduct predictive analytics, classify livestock pig call emotions, automate greenhouses, detect diseases and pests, and save water. Agronomists use AI to conduct research and development. In agriculture, AI has helped farmers identify areas that need irrigation, fertilization, pesticide treatments or increasing yield. See also: Precision agriculture and Digital agriculture

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