Webinar: Preventing Executive Spoofing Emails with AI-Customized Models for M365/Gmail
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.
📋 Article Processing Timeline
- 📰 Published: May 25, 2026 at 18:00
- 🔍 Collected: May 25, 2026 at 09:31
- 🤖 AI Analyzed: May 25, 2026 at 09:56 (24 min after Collected)
## 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.
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.
FAQ
Barracuda Email Protectionはどのようにしてなりすましメールを防ぐのか？
組織の過去のメール傾向を学習し、顧客専用のAIモデルを構築することで、普段のやり取りと異なる送信者や文面のメールを高精度に判別します。
Barracuda Email Protectionはどのメール環境に対応しているか？
GmailおよびMicrosoft 365環境に対応しています。
このウェビナーの共催者はどこか？
バラクーダネットワークスジャパン株式会社が主催し、マジセミ株式会社が協力しています。
AIモデルはどのように適応するのか？
利用を続ける中で継続的に学習を行い、環境の変化や新たな攻撃手法に対して自動的に適応します。
検知後の対応は自動化されるか？
危険なメールの受信者特定や削除対応を支援し、社員の手作業に依存しない運用を実現します。