Account Takeover Protection
Analyze Behavior to Detect and Mitigate Email Account Takeovers
Account Takeover Protection detects and remediates compromised Microsoft 365 and Google Workspace accounts by learning normal sign-in, device, and behavioral patterns for each user. It locks attackers out by revoking active sessions and forcing credential resets.
The Challenge
Compromise Passes Authentication, Then Moves Fast
Why Abnormal
We know Normal — So We See the Takeover
Abnormal sees when a mailbox starts acting like an attacker — and ejects it.
Per-Identity Behavioral Models
Abnormal learns normal sign-in locations, devices, and email behavior for each user, detecting compromise as deviation from that baseline rather than from a rule or known indicator.
Identity + Email Signal Correlation
Via API, Abnormal correlates Microsoft 365 and Google Workspace sign-in signals with communication behavior, including internal-to-internal mail, to detect compromise that a single signal would miss.
Autonomous, Explainable Lockout
On a confirmed compromise, Abnormal revokes sessions, blocks access, and forces a reset. Every case is backed by a full behavioral timeline of what changed, where, and why.
Built for the Modern SOC
Detect, Investigate, and Eject — Autonomously
Account Takeover Discovery
Detects compromise by assessing abnormalities in sign-in locations, devices, IPs, VPNs, email content, and mail rules: catching brute force, credential stuffing, token theft, and lateral phishing.
Real-Time Disarming
Automatically remediates a confirmed compromise by signing out all open sessions, blocking access, and forcing a password reset, with admin choice of auto-remediate or manual review.
Behavioral Case Timeline
Recreates the compromise in detail, surfacing suspicious behavior across email, identity platforms, devices, browsers, and apps so analysts reach a conclusive judgment without pivoting tools.
MFA Bypass Detection
Identifies session and token-based attacks that defeat MFA, surfacing compromise that authentication-based controls treat as a legitimate, fully-authenticated user.
Automated Threat Hunter
Correlates recurring IP activity and cross-customer intelligence to promote related low-signal events into high-confidence cases, reducing alert fatigue while catching stealthy campaigns.
Native M365 & Google Workspace Integration
Connects via API to Microsoft 365 (including Microsoft Entra ID sign-in telemetry) and Google Workspace to sharpen detection precision — without MX changes or a separate tool to deploy and manage.
Abnormal Correlates Signals That Others Can't See
Abnormal correlates abnormal sign-ins, device changes, MFA events, mail rule modifications, and suspicious email behavior to identify compromised accounts that pass every authentication check. Because it builds a per-identity baseline rather than matching known indicators, it catches the credential stuffing, token theft, and session hijacking that rules-based tools treat as legitimate logins.
Reconstructs the Case in Detail
Every compromised account tells a story. Abnormal reconstructs it chronologically across email, identity providers, devices, and apps so analysts understand exactly what happened — when the attacker first appeared, what they accessed, and how far they moved before detection. No tool-switching, no missing context.
Ejects Attackers Before They Can Pivot
Once compromise is confirmed, Abnormal automatically signs out active sessions, blocks access, and forces password resets. Every remediation action is logged with the behavioral evidence that triggered it, so analysts have a full audit trail without manual reconstruction.
Over 25% of the Fortune 500 Trust Abnormal AI to Make Automated, Critical Security Decisions
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Customer Voice
What Security Leaders Say
“Abnormal's automation gives our analysts time back to work on other projects, and the fact that it's API-based gives us flexibility to tie in other applications and their data.”
John Roeser
Senior Manager, Information Security, Domino's
“Our goals are to get away from being so reliant on human judgment and leverage AI to be proactive. Abnormal helps us with those goals.”
Corey Kaemming
Senior Director, Information Security, Valvoline
Abnormal powers over 4,500 customers, including over 25% of the Fortune 500.
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