Abnormal Security

Abnormal Security is an AI-native email security platform designed to detect and block sophisticated cyberattacks. The solution integrates via APIs with cloud email environments like Microsoft 365 or Google Workspace to analyze internal and external communication traffic. By monitoring behavioral patterns, the system identifies anomalies that indicate identity theft or phishing without delaying legitimate email delivery.

The core of the platform is its Behavioral AI model, which builds baselines of employees, business partners, and communication habits. By comparing incoming messages against these baseline data, the platform identifies attacks that traditional secure email gateways often miss, such as Business Email Compromise (BEC) and supply chain attacks. The system continuously adapts to evolving threats and shifting organizational communication patterns.

Beyond email protection, the platform provides features for security orchestration and identity management. Companies benefit from reduced workloads for security operations teams, as the AI autonomously distinguishes between legitimate messages and threats. The architecture is built for global scalability, enabling effective security for large, distributed enterprise networks.

• Behavioral AI Analysis — The platform builds unique identity profiles for all organization members. This allows the system to detect deviations that indicate compromised accounts or highly targeted impersonation attacks.
• API-based Integration — By connecting directly to cloud email platforms, the solution accesses metadata without rerouting traffic through traditional gateways. This ensures fast delivery speeds and maintains high performance.
• Automated Response — Detected threats are automatically isolated or removed from user inboxes. This significantly reduces the manual response time for security teams during complex phishing incidents.

The solution is primarily targeted at IT security leaders and CISOs in mid-to-large enterprises utilizing cloud-based email infrastructure. It is ideal for organizations aiming to increase their resilience against advanced social engineering attacks.

A primary use case is the prevention of Business Email Compromise (BEC), where attackers impersonate executives to authorize fraudulent wire transfers. Abnormal Security identifies that while the sender address might look legitimate, the context of the email deviates from typical communication patterns observed by the AI. The system immediately blocks the message, notifies the security team, and prevents potential financial loss. This automated mitigation happens in real-time before the recipient can take any action.

• The solution is primarily targeted at IT security leaders and CISOs in mid-to-large enterprises utilizing cloud-based email infrastructure. It is ideal for organizations aiming to increase their resilience against advanced social engineering attacks.
• A primary use case is the prevention of Business Email Compromise (BEC), where attackers impersonate executives to authorize fraudulent wire transfers.
• Behavioral AI Analysis: The platform builds unique identity profiles for all organization members. This allows the system to detect deviations that indicate compromised accounts or highly targeted impersonation attacks.
• API-based Integration: By connecting directly to cloud email platforms, the solution accesses metadata without rerouting traffic through traditional gateways. This ensures fast delivery speeds and maintains high performance.
• Automated Response: Detected threats are automatically isolated or removed from user inboxes. This significantly reduces the manual response time for security teams during complex phishing incidents.

For very small businesses without a dedicated IT security team or low email volumes, the implementation may introduce excessive complexity. Additionally, the platform is not designed for legacy on-premises email servers that lack support for modern cloud APIs.

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