Webinar to be held on the theme: "For large enterprise users: Phishing attacks made more sophisticated by AI, unable to keep up with the work of restoring quarantined emails."
📋 Article Processing Timeline
- 📰 Published: April 1, 2026 at 18:00
- 🔍 Collected: April 1, 2026 at 09:36
- 🤖 AI Analyzed: April 16, 2026 at 19:32 (369h 56m after Collected)
■The scene where false positives and quarantines are increasing due to AI-sophisticated phishing, and the restoration work cannot keep up.
Phishing attacks are becoming more sophisticated year by year with the use of AI, and there are increasing cases where suspicious emails that would have been distinguishable in the past arrive with more natural wording, seemingly legitimate senders, and confusing links.
As a result, existing email countermeasures tend to make more judgments on the safe side, making it easier for quarantined emails to pile up. What's more troublesome is that even emails necessary for business are mistakenly detected and quarantined, leading to requests from the field to "restore them." The more quarantines increase, the more likely it is to overlook legitimate emails and delay responses, and the IT department tends to be overwhelmed with "post-quarantine responses."
■The bottleneck where manual confirmation of "restore" requests, judgment for restoration, and recovery responses accumulate.
The process that tends to get stuck in the operation of quarantined emails is the process after a "restore" request arrives. Receiving a request, finding the email, checking its content, sender, links, and attachments, deciding whether to restore it, recovering it, and then contacting the user—if this series of tasks remains manual, it becomes impossible to keep up the moment the number of cases increases.
If judgment becomes individualized and confirmation procedures vary, it becomes difficult to maintain response quality, and dilemmas such as "emails that should not be stopped are stopped" and "the risk of restoring dangerous emails is scary" become stronger. As a result, quarantined emails accumulate, responses are delayed, and time cannot be allocated to consider fundamental countermeasures—this "state of accumulating operations" becomes a bottleneck.
■Explanation of how to design an operation that automatically sorts quarantined emails with AI judgment and prevents accumulation.
In this seminar, assuming a situation where "restore" requests for quarantined emails cannot be kept up with, we will organize an operational design to automatically sort quarantined emails using AI judgment and reduce the manual effort of making restoration decisions.
The important thing is not simply to introduce AI, but to specifically design "what to automate and what to have people judge," "how to handle exceptions," and "how to build a flow that does not create accumulation." We will explain how to break the structure where post-quarantine processing accumulates and how to proceed with improvements while running daily operations, including demonstrations.
■Recommended for:
・Those who are unable to keep up with confirmation and recovery responses due to an increase in "restore" requests for quarantined emails.
・Those whose restoration judgment is individualized due to being caught between false positives and bypasses.
・Those who are experiencing business impact and user dissatisfaction due to accumulated quarantined emails.
・Those who want to reduce manual restoration work and organize a design to lower operational load.
・Those who want to change to an operation that does not "accumulate" post-quarantine processing by utilizing AI judgment.
■Organizer/Co-organizer
Check Point Software Technologies Ltd.
■Cooperation
Open Source Utilization Research Institute Co., Ltd.
Majisemi Co., Ltd.
Majisemi will continue to hold webinars that are "useful for participants."
Past seminar public materials and other recruiting seminars can be viewed ▶here.
Majisemi Co., Ltd.
1-2-20 Kaigan, Minato-ku, Tokyo 105-0022, Shiodome Building 3F
Inquiries: https://majisemi.com/service/contact/
Phishing attacks are becoming more sophisticated year by year with the use of AI, and there are increasing cases where suspicious emails that would have been distinguishable in the past arrive with more natural wording, seemingly legitimate senders, and confusing links.
As a result, existing email countermeasures tend to make more judgments on the safe side, making it easier for quarantined emails to pile up. What's more troublesome is that even emails necessary for business are mistakenly detected and quarantined, leading to requests from the field to "restore them." The more quarantines increase, the more likely it is to overlook legitimate emails and delay responses, and the IT department tends to be overwhelmed with "post-quarantine responses."
■The bottleneck where manual confirmation of "restore" requests, judgment for restoration, and recovery responses accumulate.
The process that tends to get stuck in the operation of quarantined emails is the process after a "restore" request arrives. Receiving a request, finding the email, checking its content, sender, links, and attachments, deciding whether to restore it, recovering it, and then contacting the user—if this series of tasks remains manual, it becomes impossible to keep up the moment the number of cases increases.
If judgment becomes individualized and confirmation procedures vary, it becomes difficult to maintain response quality, and dilemmas such as "emails that should not be stopped are stopped" and "the risk of restoring dangerous emails is scary" become stronger. As a result, quarantined emails accumulate, responses are delayed, and time cannot be allocated to consider fundamental countermeasures—this "state of accumulating operations" becomes a bottleneck.
■Explanation of how to design an operation that automatically sorts quarantined emails with AI judgment and prevents accumulation.
In this seminar, assuming a situation where "restore" requests for quarantined emails cannot be kept up with, we will organize an operational design to automatically sort quarantined emails using AI judgment and reduce the manual effort of making restoration decisions.
The important thing is not simply to introduce AI, but to specifically design "what to automate and what to have people judge," "how to handle exceptions," and "how to build a flow that does not create accumulation." We will explain how to break the structure where post-quarantine processing accumulates and how to proceed with improvements while running daily operations, including demonstrations.
■Recommended for:
・Those who are unable to keep up with confirmation and recovery responses due to an increase in "restore" requests for quarantined emails.
・Those whose restoration judgment is individualized due to being caught between false positives and bypasses.
・Those who are experiencing business impact and user dissatisfaction due to accumulated quarantined emails.
・Those who want to reduce manual restoration work and organize a design to lower operational load.
・Those who want to change to an operation that does not "accumulate" post-quarantine processing by utilizing AI judgment.
■Organizer/Co-organizer
Check Point Software Technologies Ltd.
■Cooperation
Open Source Utilization Research Institute Co., Ltd.
Majisemi Co., Ltd.
Majisemi will continue to hold webinars that are "useful for participants."
Past seminar public materials and other recruiting seminars can be viewed ▶here.
Majisemi Co., Ltd.
1-2-20 Kaigan, Minato-ku, Tokyo 105-0022, Shiodome Building 3F
Inquiries: https://majisemi.com/service/contact/