Email & Chat Audit AI "KIBIT Eye"

In this study session, we will invite Professor Toshihiro Okuyama from Sophia University, who has been active on the front lines of journalism for many years as a former Asahi Shimbun reporter, and who continues to raise and explain social issues through the media, as well as actively participating in the hundred-member committee. He will provide an explanation of the Whistleblower Protection Act and responses to scandals, incorporating real examples. 【Event Overview】 ◆ Date and Time: November 1, 2024 (Friday) 16:00 - 17:00 ◆ Format: Free Webinar (A Zoom URL will be sent after registration) ◆ Tool Used: Zoom Webinars ◆ Participation Conditions: - Those using free email addresses, those from competing companies, and those whose affiliations are unclear are requested to refrain from registering. - When accessing Zoom on the day of the event, please enter the name and email address you provided at the time of registration in the Zoom participation input field.

The production sites in manufacturing and factories still rely heavily on human labor for many processes. However, the challenges faced by the manufacturing industry, such as labor shortages, the inheritance of skills, and accident prevention, are actually areas where AI can be very effective. In the manufacturing industry, where a wealth of skills and knowledge has been accumulated by skilled artisans, AI has the potential to serve as a tool for passing on those skills into the future, as well as a means to prevent accidents based on past disaster data. Here, we will introduce scenes where AI can be useful in such environments.

With the diversification of communication tools and the rapid expansion of remote work, the importance and difficulty of conducting "employee communication audits" as part of measures to prevent fraud and information leaks, as well as to strengthen compliance, are increasing amid the growing prevalence of online communication. This time, we would like to introduce the email and chat audit AI "KIBIT Eye," which analyzes text within various communication tools and expresses fraud risk in scores, thereby enhancing and streamlining monitoring operations.

When a data breach occurs, a company's social credibility declines, significantly impacting performance due to halted transactions and customer attrition. To address such risks, message auditing is effective. FRONTEO's AI learns the methods and thinking of investigators, auditing large volumes of emails to detect leaks of confidential information and signs of internal misconduct. By detecting the "nurturing" phase, which is a precursor to misconduct, it is possible to prevent internal fraud before it occurs. By utilizing such AI, companies can establish an effective compliance system and mitigate risks.