📧 AI-Powered Email Security
Abnormal uses behavioral AI to protect business inboxes from phishing, email fraud, and social engineering attacks. It studies communication patterns and identifies suspicious messages that may look normal to traditional security filters. This helps businesses stop dangerous emails before employees interact with them. It is especially useful for organizations handling sensitive business communication.
🧠 Behavioral AI Detection
The Abnormal Behavior Engine learns how employees, vendors, and business systems normally interact. It uses this information to spot unusual activities and identify potential threats. Instead of depending only on known attack signatures, it looks at behavior and context. This helps security teams discover new attack methods with greater accuracy.
🔐 Identity Security
Abnormal helps organizations protect employee accounts, cloud identities, and other digital identities from suspicious activities. It can identify account takeovers, risky sign-ins, and unusual access patterns. The platform also helps security teams respond to compromised accounts. This makes it easier to protect important business systems and reduce identity-related risks.
🤖 AI Security and Governance
As businesses adopt more AI tools and agents, controlling their security becomes increasingly important. Abnormal helps organizations monitor and govern AI usage while identifying risks linked to rogue AI applications. It also supports better visibility into AI-related activity. This gives businesses more control as they expand their use of artificial intelligence.
⚡ Automated Threat Detection and Response
Abnormal can investigate suspicious activities and respond to threats with minimal manual effort. It helps security teams detect attacks, review evidence, and take action at machine speed. This reduces the time spent handling repetitive security tasks. Teams can focus more on important investigations while improving their overall response efficiency.
🔗 Identity Trust Graph
The Identity Trust Graph maps relationships between human users, AI agents, service accounts, cloud systems, and other digital identities. It brings different behavioral signals together to provide better security context. This helps organizations understand how identities connect and identify unusual relationships that could point to security risks.
