Abnormal Security

Analyzes user communication patterns and sending behavior to identify when an email account has been compromised or is being used abnormally. Uses baseline behavioral profiles to detect deviations that indicate account takeover, even when the attacker uses legitimate credentials.

Identifies phishing emails designed to steal user credentials through behavioral analysis and content inspection. Detects credential harvesting attempts that bypass traditional signature-based detection by analyzing email characteristics, sender reputation, and content patterns.

Provides comprehensive reporting and analytics on detected threats, attack patterns, and security posture. Generates dashboards and reports showing phishing attempts, BEC attacks, account compromises, and trends over time for security team review and executive reporting.

Detects and blocks Business Email Compromise (BEC) attacks where attackers impersonate executives or trusted partners to manipulate employees into transferring funds or sensitive information. Uses behavioral analysis to identify spoofed communications and unusual transaction requests.

Integrates with Microsoft 365 and Google Workspace email systems using API-based connections that do not require rerouting mail flow through external servers. Enables rapid deployment and minimal infrastructure changes compared to traditional email gateway solutions.

Continuously learns and updates behavioral baselines for users and organizations based on communication patterns, sending habits, and interaction data. Improves detection accuracy over time as the system accumulates more data about normal vs. anomalous behavior.

Identifies unusual email sending patterns such as sending to new recipients, bulk emails to external addresses, or sending at unusual times. Detects compromised accounts or insider threats by recognizing deviations from established user sending behavior.

Uses behavioral AI and advanced analysis to detect phishing emails that evade traditional signature-based detection methods. Identifies zero-day phishing attempts, polymorphic attacks, and sophisticated social engineering that rule-based systems miss.

Prevents unauthorized access to email accounts by detecting when credentials have been compromised and accounts are being used by attackers. Identifies account takeover attempts through behavioral analysis before attackers can launch attacks using legitimate credentials.

Automatically quarantines detected phishing, BEC, and malicious emails, preventing them from reaching user inboxes. Provides remediation capabilities including email removal and user notifications for threats that have already been delivered.

Analyzes user interaction patterns with emails including open rates, click patterns, reply behavior, and engagement with external senders. Uses this data to build behavioral profiles and identify anomalies that indicate compromise or phishing susceptibility.