- Decide which files on a server deserve closer inspection within CPU and memory budgets.
- Build models to distinguish malicious code from benign code at fleet scale and a sensible cost per file.
- Generate detection signatures automatically from new campaigns.
- Detect malware that appears malicious only in context, including phishing pages and script injections.
- Route each file to the right detection engine.
- Make cleanup precise so sites stay clean afterwards.
- Prove each model improves detection before it ships.
- Own the path from raw samples to a production model and demonstrate its impact with measurable results.
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