• Understanding pirates
With the capability to process over 1 million streaming sessions daily, our framework identified approximately 0.5–1% of sessions associated with potential pirates. Analyzing key indicators allows us to create a data-driven profile of a typical pirate across more than 100 dimensions. To illustrate this, consider the image below, which highlights three such dimensions: VPN usage, streaming duration, and device usage:
20-30X more VPN usage
1.5-2X more streaming duration
higher device usage 2-2.5X
Pirates accessed VPN more often than non-pirate users
High-risk users streamed continuously for longer durations
Piracy users accessed more devices than non-pirates
• Accelerating data-to-decision time
Our real-time intelligence framework significantly reduces the time required for analysts to identify, track, and investigate suspicious accounts. With this advanced system in place, the data-to-decision time is streamlined by an impressive 60–80%. Previously, these tasks would typically take weeks or even months to complete, but with our framework, they can now be accomplished within a matter of days.
• Minimizing errors
Manual tasks and laborious processes are susceptible to errors, which can lead to substantial business and legal implications. Our framework addresses this challenge by implementing end-to-end automation, significantly reducing the potential for human error. While algorithms handle most cases, a few critical situations are escalated to end users for their expertise and input.
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