SOC teams need visibility into email threats alongside network and endpoint monitoring. Email-based social engineering attacks like BEC, vendor email compromise, and executive impersonation don't produce the network-level indicators NOC tools detect.
These attacks play a role in 60% of cases because they use legitimate credentials, pass authentication checks, and contain no malicious payloads. Generative AI attacks compound this challenge by enabling attackers to reduce phishing email creation time from 16 hours to just 5 minutes, producing highly convincing messages at unprecedented scale that evade traditional signature-based detection.
Abnormal's inbound email security solution integrates seamlessly with existing security stacks, leveraging Behavioral AI to detect these threats through a three-layer framework: Identity Awareness establishes behavioral baselines for every user and sender, Context Awareness analyzes communication patterns and relationship dynamics, and Risk Awareness evaluates urgency indicators, unusual financial requests, and linguistic deviations from established norms. Rather than matching known signatures, this approach identifies anomalies that traditional systems miss.
API-based integration with existing email infrastructure like Microsoft 365 solutions and Google Workspace protection enables SOC teams to correlate email events with network and endpoint telemetry without requiring MX record changes or replacing current security investments. This delivers prioritized, explainable alerts that automate SOC operations, detecting BEC, vendor fraud, and email impersonation attack patterns that can bypass traditional tools.
Organizations can also leverage AI Security Mailbox to automate user-reported email triage, reducing the manual workload on SOC analysts.