AI training has caused controversy. How to prevent a single article from being passed to AI training?

With the popularity of generative AI technology, more and more companies are beginning to use AI tools to improve efficiency, but at the same time, there are more and more disputes about data privacy and AI training. For example, two months ago, ByteDance and WPS sparked widespread discussion among creators because of their content and AI training. This concern about unauthorized content being "fed" into AI models is becoming an important consideration for companies and individual users when choosing digital tools.

Business concerns: Is internal information safe?

Many companies are concerned that their internal AI knowledge management tools may use sensitive information such as new employee training documents and technical department security management materials for AI model training without permission. This uncertainty not only threatens the company's data security, but may also affect business operations and brand image .

In response to this concern, HelpLook provides users with extremely high transparency and autonomy. The knowledge management system designed for enterprises pays special attention to the idea of protecting user data privacy. HelpLook allows users to independently control whether their documents can be used for AI document training , and by default all uploaded content will not be used for any form of AI model training unless the user explicitly authorizes it. This flexible control mode also makes many customers feel at ease.

Multiple data protection measures

Autonomous control of AI training: Enterprises no longer have to worry about data leakage

One of HelpLook's core advantages in AI knowledge management is the refined management of article AI training permissions . While helping companies quickly build and manage knowledge bases, HelpLook also understands the importance of data security. Unlike the controversy between WPS and ByteDance, HelpLook allows users to easily control whether knowledge base articles participate in AI model training through clear options . In this way, companies can safely use HelpLook's AI smart search and recommendation functions without worrying about internal data being used as AI training materials without permission.

This effectively avoids the reply problems caused by confusing multiple similar product materials , ensuring the clarity and accuracy of information conveyed by AI . At the same time, if some companies do not want to expose too much sensitive information to users, they can turn off the AI training function with one click to control the scope of content display.

Setting site and document access permissions

For internal employee access, data permission management and control can be achieved based on HelpLook's built-in access permission control system . Access permission is a security measure that can prevent malicious automated attacks, such as large-scale password guessing or brute force cracking. By setting up verification code access , enterprises can prevent malware, robots, or unauthorized people from accessing the knowledge base and protect the security of the knowledge base.

Set access rights and validity periods for different users

Administrators can set access controls to limit employee access rights. For easier management, sites can be set as private and shared passwords can be set so that only authorized personnel can access them to ensure information security.

Scheduled backup and export of knowledge base content

Backup and restore functions prevent accidental deletion or system failure, which ensures the safety of critical information.

Grant only the required permissions to your API key

Because this helps ensure data security and prevents unauthorized users from modifying the data.

Encrypted data security

Strict data encryption and security mechanism

Even if an enterprise chooses to authorize certain documents to participate in AI training, HelpLook will strictly encrypt the data. All network traffic is encrypted using TLS , and the minimum TLS protocol version can be flexibly configured. Encrypted static data is stored in encrypted storage volumes. And the data is deployed in a unique virtual private cloud (VPC) with a dedicated firewall in Alibaba Cloud RDS dedicated cluster, which means that third parties cannot access your private data .

In contrast, WPS's "desensitization" clause in its privacy policy had previously sparked controversy, with users worried that this part of the content might be vague and at risk of being abused. HelpLook, on the other hand, provides a more transparent and clear mechanism for performing data encryption, eliminating all user concerns about data security .

Transparency and trust in the scene

HelpLook is well aware of the importance of transparency in building user trust. Therefore, it provides a detailed operation log recording function, and any operation involving document creation, publishing, deletion, etc. will be fully recorded. This high degree of transparency not only helps the daily management of the enterprise, but also provides a strong data security guarantee for the enterprise.

With the development of AI technology, it has become particularly important for enterprises and individual users to control their data. The controversy over AI training between ByteDance and WPS has undoubtedly exacerbated people 's concerns about data privacy . However, knowledge management tools like HelpLook, which strictly protect user data privacy and security, provide enterprises with a solution that allows them to independently control their data in the AI era, allowing users to use AI knowledge bases to build AI help centers/knowledge bases/corporate blogs, etc. with greater peace of mind.

Whether it is the efficient management of technical documents or the application of AI search, HelpLook always adheres to the premise of user privacy and security. Through self-control of AI training, data desensitization processing and detailed log monitoring , HelpLook provides strong protection for enterprises when using AI tools to ensure that the company's knowledge assets will not be misused. This transparent and secure design allows enterprises to welcome the efficiency improvement brought by AI reform without worrying about internal data security.