Webinar Announcement: Addressing 'Legitimate-Looking Email Attacks' for Large Enterprises Using M365/EOP
Key facts
- Webinar Announcement: Addressing 'Legitimate-Looking Email Attacks' for Large Enterprises Using M365/EOP
- Abnormal AI and Majisemi are hosting a webinar on countermeasures against BEC, which cannot be prevented by existing M365/EOP measures, focusing on behavioral AI.
- Source: PR Times
- Date: June 5, 2026
Direct answer
Abnormal AI and Majisemi are hosting a webinar on countermeasures against BEC, which cannot be prevented by existing M365/EOP measures, focusing on behavioral AI.
- Citation
- Webinar Announcement: Addressing 'Legitimate-Looking Email Attacks' for Large Enterprises Using M365/EOP (June 5, 2026), PR Times
- Source
- PR Times
- Date
- June 5, 2026
Abnormal AI and Majisemi are hosting a webinar on countermeasures against BEC, which cannot be prevented by existing M365/EOP measures, focusing on behavioral AI.
📋 Article Processing Timeline
- 📰 Published: June 5, 2026 at 18:00
- 🔍 Collected: June 5, 2026 at 09:20
- 🤖 AI Analyzed: June 6, 2026 at 10:13 (24h 52m after Collected)
## The Reality: Persistent Concerns over 'Legitimate-Looking Email Attacks' Despite Security Implementation
Many companies have implemented email security measures like M365/EOP, SEG, or targeted attack simulations. However, 'attacks via legitimate routes,' such as BEC impersonating partners, executive impersonation, and abuse of legitimate accounts, have surged. Furthermore, the use of generative AI makes points previously detectable by human intuition difficult to distinguish.
## Detecting Mails Bypassing SPF/DKIM/DMARC without URLs or Attachments
Modern BEC often involves emails from legitimate domains that pass authentication (SPF/DKIM/DMARC) without URLs or attachments. This highlights issues like SOC scrutiny burden, dependency on individual judgment, and reliance on employee training. This seminar will clarify why traditional measures struggle and explain detection/defense techniques using 'Abnormal AI' based on behavioral analysis.
## Takeaways from this Seminar
- Why concerns persist even with M365/EOP implementation.
- How to judge and defend against emails that look genuine.
- Specific perspectives for reducing the operational load on SOC.
This seminar is intended for end-user companies. We look forward to your participation.
Many companies have implemented email security measures like M365/EOP, SEG, or targeted attack simulations. However, 'attacks via legitimate routes,' such as BEC impersonating partners, executive impersonation, and abuse of legitimate accounts, have surged. Furthermore, the use of generative AI makes points previously detectable by human intuition difficult to distinguish.
## Detecting Mails Bypassing SPF/DKIM/DMARC without URLs or Attachments
Modern BEC often involves emails from legitimate domains that pass authentication (SPF/DKIM/DMARC) without URLs or attachments. This highlights issues like SOC scrutiny burden, dependency on individual judgment, and reliance on employee training. This seminar will clarify why traditional measures struggle and explain detection/defense techniques using 'Abnormal AI' based on behavioral analysis.
## Takeaways from this Seminar
- Why concerns persist even with M365/EOP implementation.
- How to judge and defend against emails that look genuine.
- Specific perspectives for reducing the operational load on SOC.
This seminar is intended for end-user companies. We look forward to your participation.
FAQ
本セミナーの主な対象者は誰ですか?
エンドユーザー企業の管理職や情報システム部門、SOC担当者を対象としています。
なぜ従来のメールセキュリティ対策では不十分なのですか?
BECなどの近年の攻撃は、正規アカウントの悪用や自然な日本語文面を使用しており、URLや添付ファイルがないため、従来型の検知材料(シグネチャーや送信元認証)を回避するためです。
本セミナーではどのような解決策を学びますか?
Abnormal AIによる行動ベースAIの考え方や、既存のM365/EOP環境を補完して、本物にしか見えないメールをいかに判断・防御するかという具体的な視点を学びます。
ウェビナーの主催・協力企業はどこですか?
主催はAbnormal AI, Inc.、協力はマジセミ株式会社です。
セミナーの内容は具体的な技術解説に特化していますか?
BECの基本解説ではなく、既存対策を前提とした検知・防御の判断材料や、運用負荷軽減、導入事例の解説に焦点を当てています。