The essentials: Traditional email filters fail against modern attacks that abuse legitimate identities; behavioral AI can provide remedies through anomaly detection and automation.
Modern phishing, business email compromise, and account takeover attacks exploit trusted identities and legitimate business processes — traditional email security increasingly fails to detect these. A webinar series explores how behavioral AI enables automated detection and response.
Contemporary attack scenarios in the email domain are characterized by one central trait: they disguise themselves as legitimate communication. Phishing campaigns exploit stolen or compromised sender identities, business email compromise (BEC) attacks imitate authorized business instructions, and account takeover attacks abuse genuine but hacked accounts. As a result, they slip through the traditional filtering machinery, which checks for known malware signatures, suspicious URLs, or domain-based anomalies.
The critical problem for CISOs lies in the context blindness of older systems. They cannot distinguish whether a payment instruction from the CFO actually comes from her or whether an attacker has fabricated an identical request. Behavioral AI solutions untie this epistemological knot by detecting anomalies in the behavior of users and systems: unusual sending patterns, timing deviations, new recipients in the context of previous workflows, or atypical attachment types.
The webinar initiative aims to show security teams concrete automation possibilities — from automated alert prioritization through quarantine workflows to integrated incident response. This should reduce detection-to-response times and decrease the manual triage burden, which often becomes unmanageable with modern attack volumes.
Source: www.bleepingcomputer.com · Published 1 July 2026
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