![[ITmedia Business Online] Why doesn't Zoho "advertise"? Ask the AI research director about his “unique design” to prevent information leaks](/api/img?u=https%3A%2F%2Fimage.itmedia.co.jp%2Fbusiness%2Farticles%2F2611%2F13%2Fcover_news021.jpg&w=1200&q=72&f=webp)
Explaining our position to absolutely protect data privacy for Japanese companies facing the increasing risk of information leaks
AI-generated summary
As Japanese companies accelerate the introduction of generative AI, security risks such as leaks of internal information have become the most concerning risk. On the other hand, 46.5% of managers have used AI tools in their work without the company's permission.
Confidential information has been leaked one after another at companies. For Japanese companies, where the introduction of generative AI is accelerating, information leaks are no longer just a fire on the other side.
According to the Information and Communications White Paper by the Ministry of Internal Affairs and Communications, among the risks that companies are concerned about when using generative AI, the highest proportion of respondents answered ``security risks such as leakage of internal information.'' Meanwhile, a survey by Kadokawa ASCII Research Institute found that 46.5% of managers have used AI tools in their work without the company's permission. Many companies are caught between improving operational efficiency and protecting data.
Zoho, an Indian company that produces business software such as CRM (customer management) and provides services to over 1 million companies and organizations around the world, does not even have advertisements on its free version. Not only does it not sell user data to outside parties, but it also maintains a design in which "customer data is never used for AI learning."
How can you protect your company's data, which is its lifeline, without stopping the use of AI? We asked Ramprakash Ramamurthy, head of the company's AI research department, about this.
What is the purpose of not using customer data for AI learning?
--Zoho takes the position of ``absolutely protecting data privacy.'' Giant US IT companies, including GAFA, use user data to train AI. Recently, there have been incidents in Japanese companies where information was leaked to outside parties. What is the basis for saying that Zoho can protect data?
We have been very particular about data privacy since long before we adopted AI. Our products do not display any advertising. The same goes for the free version. We do not have any trackers (mechanisms that track visitor behavior) installed on our own website. If you look at zoho.com, you'll see that there are zero trackers. One of our strengths is a design that does not create any chance for data to be leaked to the outside.
Information for each company is that of that company. For example, an insurance company might use its own data to use AI to predict the best time to contact customers. We do not use this data at all for our own research or AI training. If a competitor of that insurance company starts using our product in the future, there is a risk that the AI design that the insurance company has built using data will be leaked to the competition.
For this reason, we have strict provisions in our contracts. It does not handle data in the customer's environment, nor does it have anything that would create an opportunity to do so. We are very determined not to retrieve any data. Our starting point is the idea of protecting data privacy, with or without AI, and that's what drives our robust designs and products.
--OpenAI, which provides GAFA and ChatGPT, uses large amounts of data for AI learning. What do you think of these movements?
I think the premise of that comparison is a little off. OpenAI also has accounts for businesses, which are handled differently from those for individuals. In the first place, it is common sense not to handle company information in personal accounts.
Data from personal services should generally be used for learning everywhere. Even when you simply look up a location using a smartphone's map function, that information is circulated and used as data that helps companies develop profitable products.
I don't think they can be compared on the same level as accounts for businesses and services for individuals are treated differently.
AI outlook — possibilities, not facts
Interest in Zoho products grows among business customers who value data privacy
Possible · Within months
![[ITmedia Business Online] The “cautious” Yayoi will collaborate with general-purpose AI tools. Freee and Manefo will follow in “MCP compatibility,” and what are the “accounting x AI” strategies of each company?](/api/img?u=https%3A%2F%2Fimage.itmedia.co.jp%2Fbusiness%2Farticles%2F2611%2F13%2Fcover_news031.jpg&w=320&q=72&f=webp)
Starting from December, Yayoi's cloud accounting software "Accounting Next" will be compatible with the common standard "MCP" that connects generated AI and external software. Although it is the third company after freee and Money Forward, it has a policy of carefully determining its distance from AI, such as allowing AI to register journal entries but not registering business partners.
![[ITmedia Enterprise] NEC prepares 1,435 data catalogs in one year, taking on the challenge of decision-making support using AI](/api/img?u=https%3A%2F%2Fimage.itmedia.co.jp%2Fenterprise%2Farticles%2F2610%2F30%2Fcover_news006.jpg&w=320&q=72&f=webp)
NEC has developed the "One NEC Data Platform" to realize data-driven management, and has built 1,435 data catalogs and 44 new dashboards in one year. We aim to become an AI native company in five years by utilizing the generative AI platform "NGS" and Knowledge AI. We are moving toward an "AI Ready Platform" equipped with an ontology layer that allows AI to interpret meaning.
Kando CIO and CISO of Tokyo Electric Power Company Holdings says that the company has overcome the stagnation of ``no one using it'' after introducing generative AI by reorganizing business processes and dividing the roles between humans and AI. He also mentioned the case study of the on-site support app ``Safe Now,'' an attitude that emphasizes return on investment, and the three elements necessary for change makers.
![[ITmedia Mobile] What is the difference between Pixel Tag and AirTag? How to choose a loss prevention tag that can be used with Android smartphones and can be purchased from the 1,000 yen range](/api/img?u=https%3A%2F%2Fimage.itmedia.co.jp%2Fmobile%2Farticles%2F2611%2F13%2Fcover_news044.png&w=320&q=72&f=webp)
Google released the loss prevention tag "Pixel Tag" on November 12th. It costs 5,010 yen per piece and 16,940 yen for a set of 4, and can be used on smartphones running Android 9 or later. We will introduce the difference from AirTag, points to consider when choosing a tag for Android, and recommended models such as Xiaomi Tag, UGREEN Finder Duo, and Logitech products.
Google announced the AI model "Gemini 4 Hydrogen" on November 12th, and began offering it gradually around the world. Optimized for daily coding and AI agent work, it achieved 51 points in the Artificial Analysis Intelligence Index and is approximately 2.5 times faster than the previous generation "Gemini 3.8 Flash". The context window is 1 million tokens, and the API price is $1.5 per million tokens for input and $7.5 for output. Available in Google AI Studio, Gemini API, Android Studio, Firebase AI Logic, Gemini for business, Gemini apps, Google Search, etc. The model card states that the biological and cybersecurity fields have reached a level that requires caution, but have not yet reached the critical capability level.
On November 12, Cyber Security Cloud announced that personal information such as customers' company names, names, and email addresses may have been leaked due to suspicious access to the administrative area on GitHub. One employee's GitHub authentication information was leaked and access by a third party was confirmed on November 5th. The scope of the incident is currently under investigation, and no secondary damage or impact on services has been confirmed.