FASTALERT Launches New Feature to Quickly Identify Potentially Affected Locations During Tsunami Events

JX Press Corporation's FASTALERT risk info service now maps real-time tsunami warnings and automatically identifies registered enterprise locations affected, significantly speeding up corporate BCP responses.
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  • 📰 Published: March 31, 2026 at 23:00
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JX Press Corporation (Chiyoda-ku, Tokyo, Representative Director Katsuhiro Yoneshige, hereinafter "the Company"), a news venture promoting disaster prevention DX, will sequentially roll out major updates to the disaster prevention weather information function of its risk information service "FASTALERT" developed and provided by the Company.

As the first step, today we released an immediate map rendering of tsunami information (Major Tsunami Warning, Tsunami Warning, Tsunami Advisory) and a feature to identify potentially affected bases.

Overview of the Update and Background of Implementation
In this update, we have implemented the following features.

* The posted images are examples displayed with data from the Noto Peninsula Earthquake.

Real-time Visualization of Tsunami Information (Disaster Map)
- Based on information announced by the Japan Meteorological Agency, the coastlines of target forecast areas are color-coded on the map.
- When warnings are upgraded, such as to a "Major Tsunami Warning," differential information is also presented, allowing for accurate comprehension.

Pinpoint Awareness via Base Function
- From pre-registered company bases and business partners, bases in the targeted warning areas are automatically extracted by warning type (determined at the municipal level).
- The list can be emailed to designated recipients.

The risk information service "FASTALERT" is widely used as a risk information gathering tool in BCP (Business Continuity Planning) operations and SCM (Supply Chain Management). However, regarding widespread weather warnings (such as tsunami information), we have received feedback that it is difficult to specify "exactly which bases will be affected."

For example, during the tsunami information following the earthquake off the Kamchatka Peninsula last year, while the announcements were widespread and prolonged, we heard that it was difficult to narrow down the bases that would actually be affected.

To solve such issues, FASTALERT is developing features to support impact judgment when various risks occur. As the first step, we are starting to provide a tsunami information visualization feature (real-time rendering on the disaster map and automatic extraction per base).

By automatically identifying affected bases, this feature supports swift initial responses to macro-level massive disasters. In addition to this, FASTALERT enables specific decision-making by providing detailed micro-level information—scrutinized by AI and a specialized team based on citizen eyewitness reports from SNS, etc.—complete with video and location data.

Going forward, we will respond to the Japan Meteorological Agency's transition to a new meteorological disaster prevention information system scheduled for the end of May.