The use of generative AI and advanced AI is not limited to text creation, image generation, and business efficiency.
In recent years, there has been a widespread movement to use AI to counter cyberattacks on financial institutions. It was reported that three megabanks in Japan can now use Google's advanced AI products to prepare for cyberattacks.
Financial institutions play a very important role as social infrastructure. If the banking system stops, it will have a major impact on the lives of individuals and on the transactions of companies. Therefore, countermeasures against cyberattacks are not just a problem for IT departments, but an important theme related to business continuity and trust in society as a whole.
This news shows that AI is spreading from “useful work aids” to “technology to protect critical systems.”
AI is used for both offense and defense
With the evolution of AI, the methods of cyberattacks have also become more sophisticated.
For example, it is possible to naturally create fake email sentences, automatically change the tactics targeted by an attack, and make suspicious communications harder to find.
It is possible that AI will be able to do the research and preparation that humans have been doing for a long time in a short time. In other words, attackers are also in the era of using AI.
On the other hand, defenders can also take advantage of AI.
AI can analyze large amounts of logs, detect suspicious accesses, spot unusual movements, catch signs of attacks early, and other information that humans alone can't keep track of.
AI can be both risky and defensive depending on how it is used.
That's why in the future of AI development, not only "what to make" but also "how to use it safely" will be important.
AI development is not just about improving operational efficiency
When it comes to AI development, many people may think of chatbots, autoresponders, text generation, image generation, data aggregation, and so on.
Of course, AI is also very effective in these areas of operational efficiency.
But that's not the only use of AI.
AI can be used in a variety of ways, including detecting anomalies in internal systems, categorizing inquiries, analyzing customer response history, forecasting inventory and sales, improving workflows, and identifying security risks.
Especially in enterprise systems, a lot of data is generated every day.
If you can use the accumulated data, such as access history, contact history, sales data, membership information, reservation information, work records, etc., you can lead to business improvement and risk measures.
AI development is not just about adding AI capabilities.
It's also about organizing the information in your company and creating a mechanism that you can use where you need it.
Deploying AI without security in mind is dangerous
AI is a useful technology, but it won't make everything safer.
Rather, it can create new risks if used incorrectly.
For example, you may enter information into an AI that should not be released outside the company, unauthorized people may have access to important data, or you may use it to make business decisions without checking the AI's answers.
To safely utilize AI, you need a design that:
- Which data will be used by the AI
- How to handle information that should not be disclosed outside the company
- Who has access to what information
- How far will AI responses be used for automated processing?
- What range should a human check?
- How to keep logs and operation history
- How to deal with misjudgments and troubles in the unlikely event
The design of the entire system is important because AI is a powerful technology.
We need to think not only about connecting AI services, but also about workflow, authority management, data management, security, and operational systems.
Integration with existing systems is key to leveraging AI
When companies use AI, it may not be effective enough to introduce AI alone.
In the actual business, various systems are already in operation, such as reservation systems, customer management systems, inventory management systems, sales management systems, internal portals, and management screens.
To truly leverage AI, it's important to integrate with these existing systems.
For example, AI categorizes the contact history by AI and displays it on the management screen, analyzes trends based on sales data, makes it easier to search internal data, and detects anomalies from work records. AI is effective by combining it with existing mechanisms.
Therefore, AI development requires not only knowledge of AI itself, but also technologies such as web system development, database design, API integration, authentication, authority management, and security design.
It is because of the use of AI that the underlying system development capabilities become more important.
At Makoto Tejima, we focus on creating a system that safely utilizes AI
In addition to web system development and smartphone application development, Makoto Tejima also supports business improvement and function development using AI.
When introducing AI, we don't just put in trendy technology, we focus on whether it is suitable for actual work, whether it can be operated safely, and whether it can be easily integrated with existing systems.
AI is a very useful technology, but it is not effective enough if the purpose of introduction remains ambiguous.
It is important to design the necessary mechanism after organizing what you want to automate, which operations you want to streamline, which data you want to use, and how far you want to leave it to AI.
Also, even when using AI, security and operational aspects cannot be underestimated.
When dealing with internal data or customer information, it should be designed to include permission management, log management, how to handle data, confirmation flow, etc.
Leveraging the power of AI while reducing it to a form that can be used safely will be important in AI development in the future.
Summary
The move to use advanced AI in financial institutions to counter cyberattacks shows that the role of AI is changing dramatically.
AI is not just a tool for making sentences.
This technology can also be used to streamline operations, organize information, find anomalies, and protect critical systems.
However, in order to use AI safely, it needs to be developed, including system design, data management, authority management, security, and operational systems.
At Makoto Tejima, we propose AI as a mechanism that can be used safely for work and systems, not just as a useful function.
If you are considering improving your business using AI, adding AI functions to your web system, or integrating with existing systems, please feel free to contact us.
