Emergency Temporary Meeting: Introduction Seminar on Security Evaluation Related Product "AttackTree"

Fully compliant with IEC61508 and ISO26262. Certification obtained.

Support from fault rate calculation to report creation in a seamless manner! Reliability Workbench is a tool based on reliability engineering used for evaluating and analyzing reliability and safety in accordance with functional safety standards. It has been adopted by many companies both domestically and internationally as a tool for evaluating the reliability and safety of equipment required by functional safety standards such as IEC61508 and ISO26262, with a total of 8,000 sites having implemented it worldwide. The main industries where it has been adopted are as follows: - Automotive - Railways - Aircraft - Plants - Industrial equipment In Japan, many automotive-related companies, including Denso Corporation, as well as railway-related customers such as Japan Signal and Nabtesco, have adopted this tool, with over 50 customers in the automotive and railway sectors alone. Additionally, this tool has the following features that support standardization and simplification of work: - Integration with electronic CAD - Database creation of failure data - Automatic deployment of failure modes and distribution ratios to FMEA - Cross-referencing between FMEA and FaultTree+

• simulator
• Other analyses
• ISO-related consultant

Calculate equipment utilization rates from MTBF/MTTF and actual operating information! It is also possible to analyze how the utilization rate changes when switching to new equipment!

The AWB (Availability Workbench) can calculate the operating rates and lifecycle costs of production lines and production equipment based on equipment information (Note 1), and the following effects can be expected: ■ Expected Effects 1. Calculation of the expected operating rate as a production line when introducing new equipment. 2. Setting targets for each piece of equipment to meet the operating rate goals established in the production plan. 3. Estimation of vulnerable areas in production equipment and production lines and corresponding measures. Note 1: Examples of input equipment information - Degradation curves (Note 2) - Items related to maintenance - Required personnel - Operation costs, etc. Note 2: Can also be substituted with MTTF/MTBF or failure performance data.

• simulator
• Analysis Services

For abnormal detection and failure prediction of equipment and devices, as well as quality improvement! We will introduce the procedures in an easy-to-understand manner!

The "Anomaly Detection and Failure Prediction Solution through Data Mining" is a data mining service and system construction service provided by Wavefront Co., Ltd., which engages in the development and sales of software for electronic computers, analysis using software, design, and consultation. This document introduces a general image of service implementation and specific images that reflect the content we frequently receive inquiries about. 【Features】 ■ Anomaly detection and failure prediction ■ Maximization of operational efficiency ■ Optimization of maintenance costs and maintenance cycles ■ Quality improvement *For more details, please refer to the catalog or feel free to contact us.

• others

Utilizing simulation, statistical analysis, and machine learning techniques, we achieve product improvement, operational condition optimization, and predictive maintenance from field data of equipment!

We support the construction of systems related to data collection and visualization, analysis, product improvement, optimization of operating conditions, and predictive maintenance by combining simulation technology, reliability evaluation, and equipment maintenance expertise. The main target equipment includes: - Various plants - Semiconductor manufacturing equipment - Air conditioning systems In this study, we will support the construction of systems by utilizing different tools and systems according to the customer's requests and objectives, such as: - 1D simulation software (1D CAE) - 3D simulation software (3D CAE) - Reliability and safety evaluation software - Statistical analysis software - Machine learning/AI software - IoT information collection infrastructure - Equipment maintenance management systems - Tablet systems Additionally, in conducting this study, we recommend starting small by narrowing down the target equipment.

• Contract Analysis
• Production Management System
• Other production management systems

Functional safety, fully compliant with ISO 26262! It allows for semi-automated evaluation from failure rate calculation to report creation, making it ideal for standardization!

Reliability Workbench is a tool based on reliability engineering used to evaluate and analyze reliability and safety assessments, as well as maintenance content for equipment, in accordance with functional safety. It has been adopted by many companies both domestically and internationally as a tool to evaluate the reliability and safety of equipment required by functional safety standards such as IEC61508 and ISO26262, with over 14,000 installations worldwide. Reliability Workbench is composed of modules for each function, addressing safety requirements such as those in ISO26262. For example: - Prediction: Failure rate calculations corresponding to various handbooks (such as SN29500) - Safety Assessment: Safety evaluations - Fault tree: Fault tree analysis - FMECA: Failure Mode, Effects, and Criticality Analysis and other modules as mentioned above. The main industries where it has been implemented are as follows: - Automotive - Railways - Aerospace - Plants - Industrial equipment

• simulator
• Other analyses
• ISO-related consultant

By utilizing the reliability analysis tool Reliability Workbench, we can smoothly implement functional safety design in accordance with ISO 26262.

Reliability Workbench is software based on reliability engineering that analyzes reliability, safety, and other factors. By utilizing features such as setting failure rates using reliability prediction models and fault tree analysis, it enables quantitative safety analysis and supports the smooth implementation of functional safety design in accordance with ISO 26262.

• Other analyses

Why is a dedicated tool for FTA+ necessary for ISO26262 functional safety compliance? Simply put, it is because it can perform cut set analysis.

1. What can and cannot be done with Excel FT diagrams can be created using Excel (or other Office tools). However, FT diagrams created in Excel cannot perform safety analyses such as cut set analysis or quantitative evaluations. They also cannot provide explanations for safety evaluations of models at the system level. 2. What cannot be done without specialized tools Cut set analysis, common cause failures, dependent failures, and systematic failures are difficult to express without specialized tools. The Enterprise version allows for revision management during collaborative work. It can also integrate with external tools like DOORS to manage changes during collaboration. 3. Differentiating between Excel and FTA+ For FT diagrams that are not complex and do not have common cause failures, Excel is suitable as it can be created relatively easily without additional costs. For models that are ASIL C or higher, or those that involve common cause failures that cannot be intuitively identified, FaultTree+ with its robust analysis features is more appropriate. When considering tools for ISO 26262 compliance, it is essential to ensure that cut set analysis can be performed.

• Development support tools (ICE, emulators, debuggers, etc.)
• ISO-related consultant

[Lecturer] Professor Hiroyuki Kato, Faculty of Sociology, Department of Social Policy Science, Hosei University [Key Lecture Content] In this lecture, I will introduce perspectives on the shipbuilding industry. Japan's shipbuilding industry has a long history and can be seen as a "microcosm" of Japanese industry. Within about ten years after World War II, Japan's shipbuilding industry became the world leader in construction volume, and at one point, the construction volume of the seven major domestic companies accounted for more than half of the world's share. Although it has since been surpassed in construction volume by latecomers such as South Korea and China, it still maintains a certain level of competitiveness. Reflecting on the path taken by the shipbuilding industry, which serves as a "microcosm," the reasons for its continued strength, and the challenges it currently faces may provide insights when considering the future of various Japanese industries. [Lecture Items] 1. Characteristics of the shipbuilding industry 2. Shipyards seen through photos and videos 3. The shipbuilding industry depicted in films 4. Why is it still strong? 5. Points to consider for future developments 6. Q&A / Business card exchange

[Speaker] Maho Tanaka, Manager, Strategy Group, Business Consulting Division, Accenture Japan Ltd. [Key Lecture Content] AI is evolving beyond a mere tool for operational efficiency to become an entity responsible for execution, including information acquisition, comparison, judgment, contracts, and purchasing. As actions initiated by dialogues with general-purpose AI chatbots like ChatGPT become mainstream, corporate information is not reaching users directly, and the structure where decision-making and execution are completed on AI is rapidly expanding. In this lecture, based on this irreversible change, we will organize the reality that the competitive axis of companies is shifting from "appealing to consumers" to "how AI understands, selects, and executes." Furthermore, we will explain the key points of strategic transformation that management should consider in the era of agent-based AI, from organizing the information structure cited by AI to designing touchpoints that reclaim the initiative for judgment and execution for the company. [Lecture Items] 1. The impact of AI on information search and access 2. The impact on corporate marketing and communication 3. The ideal direction for corporate communication in the AI era 4. Introduction of our company’s case studies 5. Q&A session

The overall theme of the webinar is: "The Two Barriers Hindering Automation in Food Factories" "Case Studies on Access Control and AI Image Recognition" Our company will be the first to present. For more details, please visit our website!

[Speaker] Yuki Kobayashi, CEO/Co-Founder of MESON Inc. [Key Lecture Content] In this presentation, we will explore "AI glasses," which have recently begun to attract significant attention as the next-generation user interface, explaining their essence and business impact. We will clarify the differences from previous XR devices and organize representative products currently available, while interpreting why AI glasses are becoming a realistic option against the backdrop of the evolution of generative AI and changes in societal acceptance. Furthermore, through market expansion and case studies primarily overseas, we will demonstrate why the years 2026 to 2028 will be a turning point for technology and business, and discuss the issues and risks that Japanese companies should currently address. [Lecture Items] 1. What are AI glasses? 2. Why AI glasses now? 3. Changes happening globally 4. How AI glasses will change work 5. Experience design as a decisive factor 6. The turning point for Japanese companies (Closing) 7. Q&A / Business card exchange *The content of the lecture may change based on the latest trends.

[Speaker] Andy Mochizuki, Director, Deloitte Tohmatsu TMT Division / Monitor Deloitte [Key Lecture Content] In an era where thinking is commoditized by AI, the source of value is determined not by "information" but by "existence," that is, "the meaning of your being." This course will start from the environmental changes surrounding the AI era, exploring the concept of redesigning work in a purpose-driven manner, the type of thinking required in the AI era (QADI cycle), and delving into the absolute differentiating factor that only humans possess—"embodiment." We will update our sense of purpose in the AI era and our collaborative relationship with AI, initiating a transformation to "live anew" from here. [Lecture Items] 1. Mapping Environmental Changes - "From the Era of Information Asymmetry to the Era of Existence Asymmetry" 2. Redesigning Work in a "Purpose-Driven" Manner 3. The "Thinking Models" Necessary in the AI Era 4. The "Body" as an Absolute Differentiating Factor 5. How to "Live Anew" in the Coming AI Era 6. Q&A / Business Card Exchange