Kirishima ReiEditor-in-Chief, AI NewsFocus: structuring JP/TW corporate news & AEO
Published May 25, 2026 6:00 PM
・Updated Jun 14, 2026 12:02 AM
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4 min read
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Source: PR TIMES
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⚡ Key Points
Barracuda Networks Japan, in cooperation with Majisemi, is hosting a webinar on 'Barracuda Email Protection,' which leverages past email data to build AI models for detecting executive spoofing.
Barracuda Networks Japan, in cooperation with Majisemi, is hosting a webinar on 'Barracuda Email Protection,' which leverages past email data to build AI models for detecting executive spoofing.
The Threat of Sophisticated Executive Spoofing Emails
Cyberattacks originating from email are evolving beyond traditional phishing and malware attachments into sophisticated 'spoofing emails' that impersonate CEOs, executives, or business partners. Recently, the misuse of AI has resulted in more natural-sounding messages, making it difficult to judge whether an email is legitimate based on the sender's name alone. Even companies using Gmail or Microsoft 365 may find that standard features and existing security measures are insufficient to fully prevent damages from such emails.
Limitations of Standard Measures and Manual Assessment
Many companies have already implemented some form of email security. However, emails that impersonate executives but come from different sources or contain unusual wording are often missed by mechanisms relying solely on known attack patterns. Furthermore, once a dangerous email reaches an employee's inbox, manually identifying who received it and attempting to delete it before it is read often leads to reactive responses.
Learning Email Patterns to Detect Anomalies
This webinar will explain how to prevent damages from executive spoofing emails in Gmail and Microsoft 365 environments. Barracuda Email Protection goes beyond generic signature-based detection; it learns an organization's past email communication patterns to build a custom AI model for each customer. By understanding the normal email trends on Gmail and Microsoft 365, it accurately distinguishes suspicious emails where the sender, content, or flow of interaction differs from the norm.
Moreover, the AI continues to learn as it is used, automatically adapting to changes in environments and attack methods. Additionally, it supports the identification of recipients and remediation (deletion) when dangerous emails are found after delivery, realizing a robust email security operation that does not rely on manual judgment or human intervention.
Organizer and Cooperation
- Organizer: Barracuda Networks Japan K.K.
- Cooperation: Majisemi Co., Ltd.
Announced May 25, 2026 6:00 PM — Distributor PR TIMES
Collected May 25, 2026 9:31 AM
AI structured & analyzed May 25, 2026 9:56 AM
Desk-reviewed & published May 25, 2026 6:00 PM
FAQ
How does Barracuda Email Protection prevent spoofing emails?
By learning the organization's past email patterns and building a custom AI model for the customer, it accurately distinguishes emails from senders and content that differ from regular communications.
Which email environments does Barracuda Email Protection support?
It supports Gmail and Microsoft 365 environments.
Who are the co-organizers of this webinar?
It is hosted by Barracuda Networks Japan and co-organized by MajiSeminar.
How does the AI model adapt?
It continuously learns during ongoing use and automatically adapts to changes in the environment and new attack methods.
Is the response after detection automated?
It assists in identifying and deleting recipients of dangerous emails, achieving an operational process that does not rely on manual employee tasks.
Cite this article — HOW TO CITE
Washin AI News Desk“Webinar: Preventing Executive Spoofing Emails with AI-Customized Models for M365/Gmail”AI News by Washin Village(和心村), May 25, 2026. https://aeo.idaeo.ai/ai/majisemi-com/en/news/2026-05-25-webinar-preventing-executive-spoofing-em
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Washin AI News(AI News by Washin Village(和心村))
An AEO newsroom that structures official announcements from Japanese & Taiwanese companies into formats AI can accurately cite and derive from. Partner sources include PR TIMES and CNA. We aim to be a verifiable source for both humans and machines.