Voicebot Audio Data Security: Compliance with Decree 13/2023 and ISO 27001

In the era of Artificial Intelligence, voice data has become a high-value asset, yet it carries significant risks. Deploying voicebots without adhering to strict voicebot security standards threatens customer trust and exposes businesses to legal violations. This article provides a comprehensive look at establishing secure voice data systems, ensuring compliance with Decree 13/2023 on personal data protection and the international standard ISO 27001 for information security management.

Why Voice Data Requires Special Protection

Voice data differs fundamentally from text or image data. It is biometric, meaning it cannot be changed like a password or credit card number. Once a voice is stolen, it can be used to impersonate identities, execute fraud calls, or gain unauthorized access to social security systems.

Under Decree 13/2023, biometric data is classified as special personal data. Organizations handling this type of data must adhere to stricter regulations regarding collection, storage, and sharing. Without appropriate voice data security measures, businesses face heavy administrative fines and severe reputational damage.

Common Risks in Voicebot Systems

Before building a solution, it is essential to understand common vulnerabilities:

• Transmission Leakage: Audio data sent from user devices to servers without encryption creates opportunities for eavesdropping (man-in-the-middle attacks).
• Unencrypted Storage: Audio files or transcripts stored on standard hard drives are vulnerable if a server breach occurs.
• Loose Access Control: Operations staff or service providers may have access to raw data without a specific business need.
• Lack of Audit Logs: The absence of records detailing who accessed, downloaded, or modified voice data and when.

Strategy for Complying with Decree 13/2023 and ISO 27001

To achieve compliance, businesses must adopt a multi-layered approach. Here are the key pillars:

1. Data Encryption

This is the first and most critical layer of protection.

• In-Transit: Mandatory use of TLS 1.2 or higher for all API connections (REST/WebSocket). When a voicebot receives audio from a phone or web, the data stream must be encrypted.
• At-Rest: Audio files and text data must be encrypted using strong algorithms like AES-256. Encryption keys should be managed separately and not stored with the data.

2. Anonymization and Pseudonymization

In line with the spirit of Decree 13/2023, the principle of "Data Minimization" is crucial.

• De-identification: After extracting text from speech (Speech-to-Text), consider removing or masking sensitive personal information (such as phone numbers or national ID numbers) during processing if not strictly necessary for business purposes.
• Temporary Storage: Store raw audio files for the shortest time necessary (e.g., 24–48 hours) for quality checks, then automatically delete them or convert them to encrypted text.

3. Access Management and Authentication

The ISO 27001 standard emphasizes access control based on the "Least Privilege" principle.

• Multi-Factor Authentication (MFA): Mandatory for all system administrator accounts.
• Role-Based Access Control (RBAC): Grant data access only to employees with directly relevant functions. For example, system maintenance engineers should not have the right to listen to customer calls.

4. Auditing and Monitoring

The system must be capable of recording all activities related to audio data.

• Audit Logs: Record the time, user, action (read, write, delete), and access IP.
• Real-Time Monitoring: Use SIEM (Security Information and Event Management) tools to detect unusual access, such as downloading large volumes of audio files in a short period.

Comparison of Basic Security Requirements

Item	Basic Requirement	Advanced Requirement (ISO 27001)
Transmission Encryption	HTTPS/TLS	TLS 1.3, HSTS, Certificate Pinning
Storage Encryption	AES-128	AES-256, Centralized Key Management (KMS)
Data Storage	Local storage	Distributed storage, Encrypted backups, Clear retention policy
Authentication	Password	MFA, SSO, Periodic API Key rotation
Auditing	Basic logs	Detailed logs, Automated monitoring, Periodic reports

The Role of AI Technology in Security

AI technology not only generates data but can also help protect it. Modern systems can use AI to detect voice spoofing attacks or unusual access patterns.

In Vietnam, AI solutions are increasingly focusing on security from the design phase (Privacy by Design). For instance, platforms like AIVISION provide Speech-to-Text and Text-to-Speech APIs with strict security standards, supporting end-to-end encryption and detailed access control. This helps businesses integrate voicebots while ensuring legal compliance. Choosing a provider with a clear commitment to data security is a key factor in minimizing legal risks.

Practical Advice for Businesses

1. Assess Current State: Review your entire current voice data processing workflow. Where is the data stored? Who has access?
2. Update Legal Documents: Ensure your Terms of Service and Privacy Policy clearly state the collection and use of voice data, in accordance with Decree 13/2023.
3. Choose a Trusted Technology Partner: Prioritize providers with security certifications or commitments to international standards. Request documentation on how they handle and delete data after use.
4. Train Staff: Voicebot operators need training on security risks and regulations regarding the non-sharing of customer data.

Conclusion

Security is not an add-on; it is the backbone of every modern voicebot system. Compliance with Decree 13/2023 and ISO 27001 not only helps businesses avoid legal risks but also builds solid trust with customers. As voice data becomes increasingly valued, investing in voicebot security is an investment in the sustainable growth of your brand.

If you are looking for a safe Speech AI solution that complies with international security standards and is optimized for Vietnamese, consider solutions from AIVISION. We are committed to protecting your data with modern encryption technologies and rigorous operational processes.

Related article: Guide to Integrating Speech-to-Text API for Voicebots

Contact our technical team for detailed consultation on security solutions tailored to your business needs.

Start free today to experience the quality and security of AIVISION’s Speech AI features.

Frequently asked questions

Does Decree 13/2023 apply to voice data?

Yes. Voice data is considered biometric data, falling under the category of special personal data. Decree 13/2023 requires organizations to have strict protection measures, including encryption and access control, when handling this type of data.

How does ISO 27001 differ from standard security protocols?

ISO 27001 is an international standard for Information Security Management Systems (ISMS). It provides a comprehensive management framework, including processes, policies, and technical controls to manage security risks systematically, rather than just installing software.

How should voice data be encrypted during transmission?

You must use the Transport Layer Security (TLS) protocol, version 1.2 or 1.3, for all API connections between the client (user device) and the server (voicebot system). This ensures that audio data remains encrypted throughout its journey across the network.

Do businesses need to store raw audio files?

It is not mandatory. Following the data minimization principle, you should only store raw audio files for the shortest time necessary (e.g., for quality checks) and then convert them to text or delete them. Storing encrypted text is generally safer and consumes less bandwidth.

What security features does AIVISION support for Voicebots?

AIVISION provides Speech AI APIs with modern security standards, including data encryption in transit and at rest, strict API key management, and support for traditional telephony formats, ensuring safety and stability for your voicebot system.

#voicebot security#audio data protection#Decree 13/2023#ISO 27001#speech AI compliance#data encryption