- Build and run the real-time enforcement layer within a millisecond latency budget.
- Design pipelines that move from signal to decision to action across sending, receiving, and account activity.
- Build detection rules and policies, and make them safe to change.
- Detect and contain account takeovers and leaked API keys.
- Measure detection precision using reasons recorded for blocks and reversals, and retire detections that harm good senders.
- Automate investigations, appeals, and bulk actions.
- Build and evaluate ML classifiers for spam and phishing, and measure their precision before enforcement.
- Implement safeguards and make enforcement actions traceable through logs, metrics, and audit trails.
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