Abnormal AI Strengthens Threat Detection for Japanese Business Communication with Enhanced Localization

TOKYO--(BUSINESS WIRE)--Abnormal AI, the leader in AI-native human behavior security, today announced enhanced localization of its behavioral AI to strengthen threat detection for Japanese-language business communication. This update expands Abnormal’s ability to accurately identify and stop socially engineered email attacks written in Japanese, delivering consistent protection for enterprises across Japan.

Abnormal’s behavioral AI already analyzes communication patterns across more than 100 languages, understanding relationships, tone, and intent to help detect and stop a broad range of phishing and impersonation attempts worldwide. As attackers increasingly exploit subtle linguistic cues—such as misuse of honorifics or inappropriate politeness levels—Abnormal has refined its models to better recognize these nuances specific to Japanese communication.

Unlike vendors that treat multilingual detection as a translation problem, Abnormal rebuilt its models to learn the linguistic and behavioral patterns native to each region, understanding not just what is said, but how it’s said. By capturing tone, cultural formality, and other subtle cues, Abnormal is designed to enhance detection accuracy against localized phishing and business email compromise (BEC) attacks, in order to help reduce false negatives and manual review time for Japanese-speaking organizations.

“The future of email security isn’t just about detecting threats in English—it’s about understanding how people communicate everywhere,” said Kei Mitsuyama, Country Manager, Japan at Abnormal AI. “And language is more than words; it also reflects culture, tone, and intent. By teaching our AI to recognize these nuances unique to each region, we’re closing detection gaps that traditional translation-based systems may overlook, delivering more precise and consistent protection for global enterprises.”

Early adopters in Japan have already reported measurable improvements in detection accuracy and efficiency.

“With Abnormal’s enhanced localization for Japanese-language detection, we’ve seen a meaningful improvement in blocking sophisticated phishing and executive impersonation emails written in Japanese,” said Takeshi Teshigawara, Engineering Specialist at Macnica. “It’s reduced missed threats and helped our team avoid unnecessary manual reviews.”

These enhancements mark the next evolution of Abnormal’s multilingual efficacy strategy, with additional language-specific configurations planned for 2026 to extend coverage across key global markets.

For more details on Abnormal’s multilingual detection advancements, visit here.

About Abnormal AI:

Abnormal AI is the leading AI-native human behavior security platform, leveraging machine learning to stop sophisticated inbound attacks and detect compromised accounts across email and connected applications. The anomaly detection engine leverages identity and context to understand human behavior and analyze the risk of every cloud email event—detecting and stopping sophisticated, socially-engineered attacks that target the human vulnerability.

You can deploy Abnormal in minutes with an API integration for Microsoft 365 or Google Workspace and experience the full value of the platform instantly. Additional protection is available for Slack, Workday, ServiceNow, Zoom, and multiple other cloud applications. Abnormal is currently trusted by more than 3,200 organizations, including over 20% of the Fortune 500, as it continues to redefine how cybersecurity works in the age of AI. Learn more at abnormal.ai.