Real-time analytics can be instrumental in enhancing security measures across various domains. Here are several ways real-time analytics can be used for security:
By leveraging real-time analytics for security, organisations can strengthen their ability to detect, respond to, and mitigate security threats in a timely manner, ultimately enhancing their overall cybersecurity posture.
Unfortunately, traditional tools and approaches to data and analytics do not scale to deliver solutions like this.
There are too many delays in the process, and the systems often used are not performant enough to process high volumes of data with low latency. In addition, traditional business intelligence tools are not rich and flexible enough to meet the business demands.
This technology stack needs to be re-invented for the cloud, with tools and architectural patterns that are built for real-time advanced use cases and predictive analytics:
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