Webinar Announcement: [For Large Enterprises & Management] Can You Detect Attacks Using Compromised Legitimate Partner Accounts?

Abnormal AI Inc. is hosting a webinar tailored for enterprise managers to discuss strategies against advanced email spoofing attacks. The session will highlight how behavioral AI can accurately detect compromised legitimate accounts and automate security operations.
イベントNQ 70/100出典:PR Times

📋 Article Processing Timeline

  • 📰 Published: April 8, 2026 at 18:00
  • 🔍 Collected: April 8, 2026 at 09:01
  • 🤖 AI Analyzed: April 20, 2026 at 21:46 (300h 44m after Collected)
Click here for details and registration.

* Note: This seminar is targeted at end-user companies. Applications from companies that do not meet this criterion may be declined depending on the circumstances. We appreciate your understanding in advance.

## Rapid Increase in Email Attack Risks Due to Globalization and Supply Chain Expansion
As global expansion and multi-layered supply chains progress, email communication with client companies and partners has become a critical gateway for business transactions such as quotes, ordering, and billing.
On the other hand, domestic large enterprises are experiencing a series of damages from Business Email Compromise (BEC) and spoofing attacks that cleverly exploit real partner names and past correspondence. It is difficult to completely detect attacks exploiting legitimate domains and accounts using only traditional gateway or signature-based countermeasures, increasing the direct risk of financial damage and information leakage.

## Spoofing from Legitimate Domains and Increased Operational Load Pressuring IT Departments
In many companies, as email security measures are strengthened, the workload for IT and SOC departments—such as handling alerts and confirming false positives—increases, often leading to a situation where 'not everything can be fully scrutinized.' Furthermore, attackers disguise themselves as legitimate senders or use existing threads, bringing their subject lines and text closer to daily business communications, meaning there is a limit to rule-based operations that simply 'block suspicious text.'
As a result, the reality is that the more important the transaction email is, the more reliant it becomes on manual verification, making it prone to inconsistencies in judgment among personnel and oversights. Building a foolproof system has become a major challenge.

## How to Catch Unknown Threats with Behavior-Based AI Detection and Achieve Operational Automation and Employee Education
In this seminar, we will explain an approach to detecting sophisticated spoofing that exploits legitimate accounts and domains using AI that learns behavioral patterns—not just email content and sender domains, but 'who communicated with whom and how.' Based on behavioral data accumulated in a global, large-scale email environment, we will introduce practical steps using specific scenarios to accurately catch unknown threats while reducing operational load through automated alert classification and workflow integration, and even covering employee education and the automation of phishing reporting.

## Host / Co-host
Abnormal AI Inc.

## Cooperation
Open Source Utilization Institute Co., Ltd.
Majisemi Co., Ltd.

Click here for details and registration.

Majisemi will continue to hold webinars that are 'useful to attendees'.
For public materials of past seminars and other upcoming seminars...