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A Guide to the Multi-Layered AI in Darktrace / EMAIL

See how multi-layered AI detects email threats traditional tools miss

Built on over a decade of operational AI research, this guide breaks down the multi-layered AI powering Darktrace / EMAIL™ – from social graphing to autonomous response – and explains how it detects sophisticated threats across email, messaging, and accounts in real time.

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calculated by Darktrace to determine an email’s status

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2025 Gartner® Magic Quadrant™ for Email Security

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Responsible AI-certified

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Emails and collaboration data (e.g. Teams, Slack, Zoom) are ingested and parsed in real time. Key attributes like headers, content, routing, and authentication signals are extracted to form the raw dataset for analysis.

Layer 1: Data Gathering

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AI maps how users communicate across the organization. It builds dynamic peer groups based on real behavioral relationships, not static roles or assumptions – including identifying external facing mailboxes and VIP mailboxes (that will have different risk profiles).

Layer 2: Social Graphing

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Thousands of behavioral and structural metrics are generated per email. These include signals like tone, exposure, spoof likelihood, PII presence, and shifts in user behavior.

Layer 3: Metric Calculation

Thousands of behavioral and structural metrics are generated per email. These include signals like tone, exposure, spoof likelihood, PII presence, and shifts in user behavior.