Your AI Tool is Already Leaking Information. Redesigning AI Governance Based on 8 Real-World Incidents

The widespread adoption of AI tools has dramatically improved corporate productivity.

However, behind the scenes, incidents not anticipated by traditional security, such as "information leakage occurring unnoticed" and "uncontrollable automated execution," are actually happening.

MONO BRAIN Inc. will host a webinar that analyzes 8 real-world AI incidents, explaining their underlying structures and "design flaws that could have been prevented."

Background: The incidents are not "special cases"

Incidents involving M365 Copilot and AI agents are not limited to specific companies or environments.

Cases analyzed in this report clearly show that "design and operational level problems" such as:

・Excessive privilege grants through OAuth / API integration ・Designs that over-rely on external input ・Insufficient control over automated execution by agents

have directly led to serious accidents.

In other words, the essence of the problem is not that AI is dangerous, but that it is being used defenselessly with "excessive privileges."

What will be explained in this webinar

・Why do AI incidents happen even though they could have been prevented? ・How does zero-click confidential information leakage occur? ・Why couldn't database deletion by AI agents be stopped? ・The structure where OAuth and API integration become "full authorization" ・The impact of prompt injection on practical operations ・Basic patterns for governance design based on AI utilization

Practical Edition: Governance Design to Not Stop AI Utilization

This webinar will not merely prevent risks, but will explain approaches to control risks while maintaining on-site productivity.

・Proactive control of information leakage through pre-transmission masking ・Guiding "shadow AI" from "prohibition" to "safe options" ・Browser-based introduction design that does not change on-site workflows

We will introduce methods to resolve the dilemma of "security strengthening leading to non-use" and achieve realistic governance based on AI utilization.

Webinar Overview

Date and Time

May 13, 2026 (Wednesday) 12:00-13:00

Format

Online (Zoom)

Participation Fee

Free

Speaker

Makoto Kato, Representative Director, MONO BRAIN Inc.

Program

12:00-12:05 Company Introduction and Purpose of the Day

12:05-12:15 Current State of AI Security in Japanese Companies

12:15-12:35 Deep Dive into Incidents: M365 Copilot / Lovable / Replit, etc.

12:35-12:50 Practical Countermeasures: Immediate Defense with MODEL SAFE / Mamoraku AI

12:50-13:00 Q&A Session

Speaker

MONO BRAIN Inc.

Representative Director and President

Makoto Kato

How to Participate

The seminar participation link will be sent to applicants 1-2 hours before the event on the day.

Zoom can also be viewed from a browser.

Organizer

MONO BRAIN Inc.

How to Apply

Please apply from the URL below.

https://modelsafe.jp/webinar/2026-05-13_ai_incident_202604

About MONO BRAIN Inc.

MONO BRAIN is a group of AI security specialists aiming for the social implementation of "proactive AI governance to maximize AI value." We contribute to realizing a society where companies can boldly accelerate innovation by developing and providing the integrated platform "MODEL SAFE" that protects systems from AI-specific vulnerabilities, and by participating in the AI Governance Association.

▼ Inquiries

https://modelsafe.jp/contact

▼ MODEL SAFE Service Introduction

https://modelsafe.jp/