Marketing tools
SaaS platforms and artificial intelligence tools have become part of the daily operations of thousands of businesses. However, before sharing customer information, internal documents, or strategic data, companies need to understand how these services store, use, and protect the content they receive.
After all, not every platform offers the same level of security, and certain features can expose information without users realizing it. Therefore, understanding the risks and responsibilities associated with each service helps businesses take advantage of technology without compromising privacy.
Is It Safe to Store Sensitive Data on SaaS Platforms?
Yes, businesses can securely store sensitive data on SaaS (Software as a Service) platforms, provided the service implements appropriate security measures and complies with applicable legislation. However, no digital solution is entirely risk-free, and security also depends on the practices adopted by its users.
SaaS platforms operate in the cloud, allowing users to access tools, documents, and information over the internet. Consequently, businesses must evaluate how providers manage their data before integrating a solution into their operations.
Some of the main aspects to consider include:
Encryption of data stored and transmitted over the internet.
Access controls and permissions for different users.
Clear privacy and information-sharing policies.
Data storage, retention, and deletion procedures.
Compliance with Brazil's General Data Protection Law (LGPD) and other applicable regulations.
Transparency regarding how artificial intelligence systems use information.
Additionally, businesses should distinguish sensitive personal data from confidential commercial information. The LGPD establishes a specific definition of sensitive personal data, while contracts, marketing strategies, and business documents also require protection, even when they do not contain personal information.
Not Every Artificial Intelligence Tool Is Safe for Confidential Data
Artificial intelligence has introduced new opportunities to automate tasks, create content, and analyze information. However, its use also requires caution, particularly when employees share internal data to obtain answers or complete activities.
This is because different tools follow their own policies regarding data storage, retention, model training, and information sharing. Therefore, users should never assume that everything submitted to an AI system will remain confidential or be automatically deleted after use.
For example, when asking an AI tool to analyze a customer spreadsheet, a user might upload names, contact details, financial information, or other personal data. If the platform does not provide adequate protection, this process could create legal, operational, and reputational risks.
The safest approach involves reviewing the provider's privacy policy, understanding how it processes information, and limiting data sharing to what is strictly necessary.
The Claude Case: Shared Conversations Appeared on Google
An incident involving Claude, an artificial intelligence tool developed by Anthropic, demonstrated how sharing features can create privacy risks. In July 2026, reports identified conversations and content publicly shared by users that appeared in search engine results, including Google.
According to a report published by TechCrunch, some of the indexed content contained potentially sensitive information. The issue was related to the public link-sharing feature rather than the automatic exposure of all private conversations on the platform.
Anthropic explained that conversations are private by default, but users can generate public links to share content. When these links become accessible through publicly available web pages, search engines or third-party services may discover and record the information.
The company also clarified in its official documentation on shared links that it uses instructions intended to prevent these pages from being indexed. However, such measures cannot prevent third parties from copying, archiving, or redistributing content that has been made publicly available.
What Does This Incident Teach Us About AI Security?
The case demonstrates that a seemingly simple feature, such as sharing a conversation through a link, can significantly expand access to confidential information. For this reason, users must understand privacy settings before sharing documents or AI-generated results.
Furthermore, the incident reinforces an important point: security involves more than preventing cyberattacks. It also depends on how tools operate, which permissions users grant, and how information gets shared.
What Does the LGPD Require from SaaS Platforms?
Brazil's General Data Protection Law (LGPD), Law No. 13,709/2018, establishes rules for collecting, using, storing, and otherwise processing personal data. These requirements also apply to SaaS platforms and artificial intelligence tools when their data-processing activities fall within the scope of Brazilian legislation.
The law defines sensitive personal data as information relating to matters such as health, racial or ethnic origin, religious beliefs, political opinions, and genetic or biometric data linked to an individual. Because these categories concern particularly private aspects of people's lives, their processing requires additional safeguards and specific legal grounds.
The main principles guiding data protection include:
Purpose limitation: Using information for legitimate, specific, and disclosed purposes.
Data minimization: Collecting and processing only the information necessary for a particular activity.
Transparency: Explaining how information is used and shared.
Security: Implementing measures to prevent unauthorized access and accidental or unlawful incidents.
Prevention: Establishing procedures to reduce risks and potential harm.
Accountability: Demonstrating that effective measures are in place to comply with legislation.
Additionally, the processing of personal data must rely on an appropriate legal basis, which does not always require consent. Therefore, businesses must assess their legal responsibilities before providing customer or employee information to external services.
Who Is Responsible for Protecting the Data?
Responsibility depends on the role each organization plays in processing information. In certain situations, the company using the service acts as the data controller, while the SaaS provider operates as the data processor, following the controller's instructions.
However, this division does not eliminate either party's obligation to protect information. Both the organization using the tool and the provider must comply with the legal requirements applicable to their respective activities.
How Can Businesses Protect Sensitive Data When Using SaaS and AI?
Adopting security best practices helps reduce risks and encourages more responsible use of digital tools. Although every business has different needs, companies can implement several protective measures across most operations.
1. Review the Privacy Policy Before Choosing a Platform
Before using a platform, check how it collects, stores, shares, and deletes information. Additionally, verify whether the provider uses user-submitted data to improve or train artificial intelligence models.
2. Avoid Sharing Unnecessary Information
Whenever possible, remove names, identification numbers, contact details, and other identifiers before submitting information for analysis. This approach helps reduce personal data exposure without compromising the purpose of the task.
3. Control Access to Digital Tools
Assign permissions according to each employee's responsibilities and review access regularly. Furthermore, enable multi-factor authentication whenever available and avoid sharing login credentials.
4. Check Sharing Settings
Before distributing documents, conversations, or reports, verify who will be able to access the content. After all, a public link may allow information to circulate beyond its originally intended recipients.
5. Choose Providers Committed to Data Protection
Prioritize platforms that provide transparent policies, security mechanisms, and procedures for handling data subject rights. It is also worth checking how the company manages third-party providers and potential international data transfers.
These practices contribute to a safer digital environment. Nevertheless, businesses should evaluate each tool according to the type of information it processes and the risks involved.
How Does Intellux Handle Data Security and Privacy?
At Intellux, we believe data protection should go hand in hand with technological innovation. That is why we comply with the data protection laws applicable to our operations, including Brazil's LGPD, and maintain policies focused on protecting user privacy and information security.
Our Privacy Policy explains how we collect, use, store, and protect data processed through our platform. The measures outlined include encryption of data in transit and at rest, access controls, and the use of secure infrastructure.
We also establish criteria for sharing information with service providers and explain the purposes of data processing, including activities related to the operation and improvement of our artificial intelligence features.
Additionally, we provide guidance so that individuals can exercise their data protection rights under the conditions established by applicable law. Our commitment is to develop technological solutions with transparency, responsibility, and respect for the information entrusted to our platform.
Is It Worth Using SaaS Platforms with Artificial Intelligence?
SaaS solutions and AI tools can significantly improve productivity, organization, and operational efficiency. However, to enjoy these benefits responsibly, businesses must consider data protection from the moment they select a platform through its everyday use.
The Claude shared-conversation incident highlights the importance of understanding privacy features, while the LGPD reinforces the responsibilities associated with processing personal information. Therefore, the best approach combines technology, transparent providers, and strong security practices.
At Intellux, we believe innovation and data protection should work together. Explore our AI-powered digital marketing platform and discover how to organize your activities in an environment designed with attention to privacy and information security.
