Insider threat is one of the biggest cybersecurity risks to banks today. Not taking appropriate measures to control insider threats, poses as much of a risk as an external factor such as hacking, especially in a highly regulated industry like banking.
StreamAnalytix helped this large bank to identify and prevent insider information security threats through use of predictive analytics and machine learning, to automatically and effectively detect previously unknown threat scenarios and patterns, and raise appropriate alerts and actions to prevent predicted breaches.
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Insider threats are one of the most significant cybersecurity risks to banks today. These threats are becoming more frequent, more difficult to detect, and more complicated to prevent.
Meetup – Stream Processing with Apache Kafka, Flink and Spark
November 2, 2019 - November 2, 2019 Hotstar office (Bangalore)
Accelerate your journey from data to decisions – A unified analytics platform for ETL, ML, and BI
Jul 15, 2020 | 10:00 am PT / 1:00 pm ET