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Inside the Takeover: How Abnormal AI Detected and Stopped a Real Account Compromise

See how modern account takeover attacks bypass MFA and evade detection and how Abnormal uses behavioral AI to correlate subtle signals, detect compromised accounts, and stop fraud before it spreads.

Wichtige Erkenntnisse

Attackers use spoofed ADFS login pages to capture MFA tokens in real time, bypassing multi-factor authentication protections.

VPN-masked sign-ins and mailbox rules appear routine in isolation but reveal coordinated campaigns when correlated across users and time.

Abnormal AI autonomously remediates high-confidence account compromises without requiring manual intervention.

Cross-account correlation of weak signals is key to uncovering coordinated account takeover campaigns that evade traditional detection.

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Überspringen

From spoofed ADFS login pages that capture MFA tokens in real time to VPN-masked sign-ins that look routine, modern account takeover attacks are designed to evade traditional detection. A single suspicious login or mailbox rule may not raise alarms—but when correlated across users, infrastructure, and time, a coordinated campaign emerges.

In this ThreatStream webinar, Abnormal AI experts go inside real-world account takeover incidents to show how behavioral AI detects subtle anomalies, connects weak signals, and autonomously stops compromised accounts before damage is done.

Watch the on-demand webinar to learn:

  • Why modern account takeover rarely looks malicious in isolation
  • How attackers use MFA phishing, VPN infrastructure, and mailbox rules to establish persistence
  • What cross-account correlation reveals about coordinated campaigns
  • How Abnormal’s Cloud Account Takeover Protection detects and remediates high-confidence compromises automatically

Fill out the form to watch the full webinar.

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