Description:
Build a lightweight behavioral analytics module to identify potential bots in the browser by analyzing user interactions.

Tasks:

• Collect movement events such as mousemove, scroll, and click.
• Analyze patterns like frequency, delay, and randomness to detect non-human behavior.
• Flag sessions that exhibit bot-like behavior based on predefined thresholds.
• Include a botScore in the telemetry payload to provide insights into the likelihood of bot activity.

Acceptance Criteria:

• SDK emits a botScore in telemetry data.
• Sensitivity of the bot detection is configurable via SecuritySDK.init().
• The bot detection system must be lightweight enough for real-time use without noticeable performance issues.