Email-Like Account Takeover Protection
Detect compromised user accounts across Slack, Microsoft Teams, and Zoom.
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Account Takeovers Go Unnoticed
Lateral Movement Risks
With corporate credentials tied to employee email accounts, an email compromise can provide full access to collaboration apps.
Lack of Risk Detection
Account takeovers beyond the inbox bypass the visibility of legacy email security tools.
Hard to Detect
Security teams lack methods to correlate and contextualize suspicious activity across tools to determine the scope and impact of a threat.
Protect Users Across Collaboration Apps
Detects Suspicious Activity Across Applications
It is critical to quickly identify when a compromised account has access to highly-used collaboration apps. Abnormal surfaces suspicious authentication activity, correlating against known-bad IPs and sign-in locations to highlight compromised accounts.
Recreates the Crime Scene in Detail
Once a compromised account has been identified, Abnormal automatically builds a case—giving security teams a detailed timeline of suspicious authentication activity across collaboration applications. From there, teams can further investigate and coordinate remediation.
Enhances Investigation with Identity Integrations
By integrating with major identity providers like Okta, Abnormal enriches each case with single sign-on activity. This gives greater insight into each session, allowing security teams to see discrepancies between IdP sessions and those initiated on Slack, Microsoft Teams, and Zoom.
Email-Like Account Takeover Protection Features
Account Takeover Detection
Detect risky sign-in events from known-bad IPs, suspicious locations, or clients.
Account Takeover Investigation
View automatically-generated cases in the Account Takeover tab of your Abnormal Portal, enriched with a timeline of risky activity.
Ingest data from Okta or Azure Active Directory to further enrich investigation.
Detect the Signs of Compromise Across Slack, Microsoft Teams, and Zoom
Catch account takeover attempts that other solutions miss with a behavioral AI-based approach to detection.
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