How to use DeepSeek both privately and securely | Kaspersky official blog
We explain how to configure privacy settings in DeepSeek, how to use the chatbot securely, and how to deploy it locally.
AI Analysis
Technical Summary
DeepSeek is an AI-powered chatbot tool that can be used both privately and securely, particularly when deployed locally. The Kaspersky blog article provides detailed guidance on configuring privacy settings within DeepSeek, using the chatbot securely, and deploying it on local infrastructure to prevent data from being sent to external servers. Although the information is categorized as a vulnerability, no specific affected versions or exploits have been identified, and no CVSS score is assigned. The medium severity rating reflects the potential risk of privacy breaches if the tool is misconfigured or used improperly, which could lead to unauthorized data access or leakage. The article likely covers best practices such as disabling telemetry, limiting data sharing, and ensuring local data storage. The absence of known exploits in the wild suggests that the threat is currently theoretical or mitigated by proper configuration. The focus on local deployment aligns with privacy regulations like GDPR, which are critical for European organizations. The technical details emphasize the importance of understanding and managing privacy settings to prevent inadvertent exposure of sensitive information when interacting with AI chatbots like DeepSeek.
Potential Impact
For European organizations, the primary impact of this threat relates to potential breaches of confidentiality and privacy, especially given stringent data protection laws such as GDPR. Misconfiguration of DeepSeek’s privacy settings or reliance on cloud-based deployments could result in sensitive data being transmitted to or stored on external servers, increasing the risk of data leakage or unauthorized access. This could lead to regulatory penalties, reputational damage, and loss of customer trust. Additionally, organizations using AI chatbots for internal or customer-facing applications might face operational disruptions if privacy concerns lead to suspension or restriction of these tools. The impact is particularly relevant for sectors handling sensitive personal data, such as healthcare, finance, and public services. However, since no active exploits are known, the immediate risk is moderate, focusing on preventing future incidents through proper configuration and deployment strategies.
Mitigation Recommendations
European organizations should deploy DeepSeek locally whenever possible to ensure data remains within their controlled environments, minimizing exposure to external threats. They must rigorously configure privacy settings according to the guidance provided by Kaspersky, including disabling any telemetry or data sharing features that are not essential. Regular audits and monitoring of chatbot interactions should be conducted to detect any inadvertent data leakage. User training is critical to ensure that personnel understand the privacy implications and proper use of the tool. Organizations should also integrate DeepSeek deployment with existing data protection policies and incident response plans. Where local deployment is not feasible, encryption of data in transit and at rest, combined with strict access controls, should be enforced. Finally, staying updated with vendor patches and security advisories is essential, even though no patches are currently listed, to address any future vulnerabilities promptly.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden
How to use DeepSeek both privately and securely | Kaspersky official blog
Description
We explain how to configure privacy settings in DeepSeek, how to use the chatbot securely, and how to deploy it locally.
AI-Powered Analysis
Technical Analysis
DeepSeek is an AI-powered chatbot tool that can be used both privately and securely, particularly when deployed locally. The Kaspersky blog article provides detailed guidance on configuring privacy settings within DeepSeek, using the chatbot securely, and deploying it on local infrastructure to prevent data from being sent to external servers. Although the information is categorized as a vulnerability, no specific affected versions or exploits have been identified, and no CVSS score is assigned. The medium severity rating reflects the potential risk of privacy breaches if the tool is misconfigured or used improperly, which could lead to unauthorized data access or leakage. The article likely covers best practices such as disabling telemetry, limiting data sharing, and ensuring local data storage. The absence of known exploits in the wild suggests that the threat is currently theoretical or mitigated by proper configuration. The focus on local deployment aligns with privacy regulations like GDPR, which are critical for European organizations. The technical details emphasize the importance of understanding and managing privacy settings to prevent inadvertent exposure of sensitive information when interacting with AI chatbots like DeepSeek.
Potential Impact
For European organizations, the primary impact of this threat relates to potential breaches of confidentiality and privacy, especially given stringent data protection laws such as GDPR. Misconfiguration of DeepSeek’s privacy settings or reliance on cloud-based deployments could result in sensitive data being transmitted to or stored on external servers, increasing the risk of data leakage or unauthorized access. This could lead to regulatory penalties, reputational damage, and loss of customer trust. Additionally, organizations using AI chatbots for internal or customer-facing applications might face operational disruptions if privacy concerns lead to suspension or restriction of these tools. The impact is particularly relevant for sectors handling sensitive personal data, such as healthcare, finance, and public services. However, since no active exploits are known, the immediate risk is moderate, focusing on preventing future incidents through proper configuration and deployment strategies.
Mitigation Recommendations
European organizations should deploy DeepSeek locally whenever possible to ensure data remains within their controlled environments, minimizing exposure to external threats. They must rigorously configure privacy settings according to the guidance provided by Kaspersky, including disabling any telemetry or data sharing features that are not essential. Regular audits and monitoring of chatbot interactions should be conducted to detect any inadvertent data leakage. User training is critical to ensure that personnel understand the privacy implications and proper use of the tool. Organizations should also integrate DeepSeek deployment with existing data protection policies and incident response plans. Where local deployment is not feasible, encryption of data in transit and at rest, combined with strict access controls, should be enforced. Finally, staying updated with vendor patches and security advisories is essential, even though no patches are currently listed, to address any future vulnerabilities promptly.
Affected Countries
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Technical Details
- Article Source
- {"url":"https://www.kaspersky.com/blog/deepseek-privacy-and-security/54643/","fetched":true,"fetchedAt":"2025-10-21T17:25:07.644Z","wordCount":2571}
Threat ID: 68f7c1f341ea2e78b89c740a
Added to database: 10/21/2025, 5:25:07 PM
Last enriched: 11/5/2025, 2:40:19 AM
Last updated: 12/14/2025, 2:56:27 AM
Views: 163
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