3 min read.Updated: 13 Sep 2021, 10:42 PM ISTDattaraj Rao
Zero-shot AI can save hours spent on searching for the needle in a haystack
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Artificial intelligence (AI) is being looked upon as the next frontier to make cyber-defence robust and scalable. The key aspects that make AI and particularly machine learning (ML) attractive in cybersecurity is the ability to learn from large volumes of telemetry data and find patterns of abnormal behaviour. ML algorithms can be used to find anomalies in different parts of the enterprise like application logs, network flows, user activities and authentication logs. As enterprises adopt models like zero-trust with strict identity verification and explicit permissions, augmenting these with ML algorithms to monitor user behaviour patterns becomes critical.