Last reviewed: 22 May 2026
DeepSeek can be used safely in Malaysia for low-risk, non-confidential tasks if users apply strict data controls. It should not be used casually with personal data, sensitive personal data, customer records, confidential contracts, source code, financial information, HR files or regulated data unless proper governance, contractual, technical and PDPA safeguards are in place.
Not legal advice: This guide is for general business and privacy awareness. Malaysian organisations should obtain legal advice for specific PDPA, regulatory, sectoral or cross-border transfer questions.
Quick Takeaways for Malaysian Businesses
- DeepSeek safety depends on what data you enter, which version you use and what controls you apply.
- Public DeepSeek Chat is best limited to public, generic and non-confidential tasks.
- Do not enter NRIC numbers, customer records, HR files, financial data, medical information, contracts, trade secrets or proprietary source code.
- DeepSeek’s privacy policy says it may collect prompts, uploaded files, photos, chat history, account data, device/network data, IP address and approximate location.
- DeepSeek says personal data may be directly collected, processed and stored in the People’s Republic of China.
- Malaysian businesses using AI tools should consider PDPA principles, data security, breach notification, DPO duties and cross-border transfer rules.
- For high-risk business use, consider API controls, private cloud, self-hosting or enterprise-grade alternatives rather than public chat.
- Human review is essential because DeepSeek itself warns that AI outputs can be inaccurate and should not be treated as professional advice.
Table of Contents
Is DeepSeek Safe in Malaysia? The Practical Answer
The best answer is not simply “yes” or “no”. Is DeepSeek safe in Malaysia? It depends on the use case, data type, deployment method, business controls and PDPA compliance measures.
For a Malaysian freelancer using DeepSeek to brainstorm public blog titles, the risk may be low. For a bank, clinic, law firm, e-commerce company or HR team entering customer records, employee data or confidential contracts into public DeepSeek Chat, the risk is much higher.
The practical rule is:
| Use scenario | Risk level | Recommendation |
|---|---|---|
| Public information, generic writing, brainstorming | Low | Usually acceptable with basic review |
| Internal business information without personal data | Medium | Use only with redaction and approval |
| Personal data, customer data, employee data | High | Avoid public chat unless PDPA safeguards are confirmed |
| Sensitive personal data, regulated data, confidential records | Very high | Restrict or avoid; consider private deployment |
| Government, critical infrastructure, legal, medical, financial decisions | Very high | Require formal risk assessment, human review and governance |
Malaysia has not solved this issue with a simple yes/no rule. The better question for companies is: How can we use DeepSeek safely without exposing personal data, confidential information or regulated business data?
What DeepSeek Collects and Why It Matters
DeepSeek’s own privacy policy is the starting point. According to the policy, when users create an account or use the service, DeepSeek may collect account data such as date of birth, username, email, phone number and password, as well as user inputs including text input, voice input, prompts, uploaded files, photos, feedback, chat history or other content provided to the model.
It also says it automatically collects device and network data such as device model, operating system, IP address, device identifiers, system language, crash reports and performance logs. It may also collect usage logs and approximate location based on IP address.
This matters because prompts are not just “questions”. In business use, prompts can contain customer names, NRIC numbers, phone numbers, invoices, contract clauses, employee complaints, pricing models, source code, security logs or board-level strategy.
DeepSeek’s privacy policy also says its services are not designed or intended to process sensitive personal data and that users should not provide sensitive personal data to the services. For Malaysian businesses, that warning should be treated seriously.
DeepSeek further states that personal data may be stored on servers outside the user’s country and that, to provide services, it directly collects, processes and stores personal data in the People’s Republic of China.
Its terms of use also say users are responsible for the inputs they submit and must have the rights, licences and permissions necessary for DeepSeek to process those inputs. In addition, DeepSeek says it may use inputs and outputs, after encryption and de-identification measures, to provide, maintain, operate, develop or improve the services, with an opt-out option through “Improve the model for everyone”.
The business implication is clear: do not treat public AI chat as a private workspace unless your organisation has reviewed the privacy terms, data flows, retention position, cross-border transfer implications and contractual controls.
Is DeepSeek Banned in Malaysia?
As of the last review date above, Malaysian businesses should not assume that DeepSeek is subject to a general nationwide ban in Malaysia. However, this position should be rechecked because government and regulatory actions can change. The more accurate public position is that Malaysia has studied or considered DeepSeek’s impact, rather than announced a general public ban.
Bernama reported on 2 February 2025 that Malaysia’s government was studying the impact of China’s open-source AI platform DeepSeek on Malaysia, according to Digital Minister Gobind Singh Deo. That is not the same as a general nationwide ban.
However, the absence of a general Malaysia-wide ban does not mean “no risk”. Other governments and regulators have scrutinised or restricted DeepSeek in public-sector, privacy or security contexts. This international context is useful for risk awareness, but it should not be treated as Malaysian law.
For example, Australia issued a government direction restricting DeepSeek products, applications and web services on government systems and devices, while Italy’s data protection authority, the Garante, took action against DeepSeek over privacy concerns. South Korea’s data protection authority also suspended new downloads for a period before the app later returned after privacy-policy changes.
For Malaysian companies, the conclusion is practical: do not wait for a formal ban before creating internal rules. Conduct a risk assessment, classify the data you allow into AI tools, restrict sensitive or regulated data, and involve legal, compliance, DPO and IT/security teams where appropriate.
How Malaysia’s PDPA Applies to DeepSeek Use
Malaysia’s Personal Data Protection Act 2010, commonly known as PDPA or Act 709, applies to personal data processing in commercial transactions. PDP Malaysia’s FAQ explains that the Act protects personal information processed for commercial transactions and that personal data includes information that allows a living individual to be identified, such as name, address, identification card number, passport number, health information, email address, photos, CCTV images and personal-file information.
Using DeepSeek may involve “processing” personal data if your organisation collects, records, stores, discloses, transmits, analyses or otherwise uses personal data through the tool. PDP Malaysia explains that processing is broad and may include collecting, recording, storing, organising, changing, disclosing or destroying personal data.
PDPA has seven personal data protection principles. PDP Malaysia lists the seven principles under Act 709 as the General Principle, Notice and Choice Principle, Disclosure Principle, Security Principle, Storage Principle, Data Integrity Principle and Access Principle.
| PDPA principle | What it means for DeepSeek use |
|---|---|
| General Principle | Do not process personal data through DeepSeek unless you have a PDPA-compliant basis, consent or applicable exception, and the processing is necessary and appropriate. |
| Notice and Choice | Your privacy notice should clearly cover relevant AI tool processing, purposes and disclosures where applicable. |
| Disclosure | Do not disclose customer, employee or user data to an AI service beyond what your notice, consent and business purpose allow. |
| Security | Apply access controls, redaction, vendor due diligence, encryption, logging and staff training. |
| Storage/Retention | Do not keep prompts, exported outputs or AI logs longer than necessary, and align retention with PDPA storage requirements. |
| Data Integrity | Do not rely blindly on AI-generated summaries or profile information; verify accuracy. |
| Access | Be prepared to respond to data subject access and correction requests involving AI-assisted processing. |
A company that pastes customer complaints, loan records or HR investigation notes into DeepSeek may be exposing personal data to an external system. That can trigger PDPA concerns around disclosure, security, notice, retention and cross-border transfer.
PDPA 2024 Amendments Malaysian Businesses Should Consider
Malaysia’s PDPA has been updated through the Personal Data Protection (Amendment) Act 2024. The official Act A1727 was assented to on 9 October 2024 and published in the Gazette on 17 October 2024. It amended Act 709 by replacing “data user” with “data controller” in many places and introduced changes relevant to modern data processing.
Certain provisions came into operation on 1 January 2025, 1 April 2025 and 1 June 2025 under the official Appointment of Date of Coming Into Operation notice.
Important changes for AI use include:
- Data controller terminology: Many references to “data user” were replaced with “data controller”.
- Biometric data: Biometric data was added to the definition of sensitive personal data.
- Data processor security duties: The amendment requires data processors processing personal data on behalf of a data controller to comply with the Security Principle.
- DPO requirement: New section 12A requires data controllers and data processors to appoint one or more data protection officers in relevant circumstances.
- Data breach notification: New section 12B requires notification to the Commissioner when a data controller has reason to believe a personal data breach has occurred, and notification to data subjects where the breach causes or is likely to cause significant harm.
- Data portability: New section 43A creates a right for a data subject to request transmission of personal data to another data controller, subject to technical feasibility and data-format compatibility.
- Cross-border transfer changes: Section 129 was amended, affecting how data controllers may transfer personal data outside Malaysia.
PDP Malaysia’s FAQ states that not every organisation must appoint a DPO, but a data controller or data processor must appoint one or more DPOs if processing involves personal data exceeding 20,000 data subjects, sensitive personal data including financial information exceeding 10,000 data subjects, or regular and systematic monitoring such as online user behaviour tracking.
For DeepSeek use, this means businesses should not only ask “Is the chatbot good?” They should ask whether AI use changes their personal data processing, vendor risk, breach exposure, DPO duties, transfer documentation and employee training requirements.
Cross-Border Data Transfers: The Key DeepSeek Issue
The biggest PDPA issue for public DeepSeek use is not only the model output. It is the possible transfer or overseas processing of prompts, uploaded files, account details and logs.
DeepSeek says it directly collects, processes and stores personal data in the People’s Republic of China. For Malaysian businesses, that can create cross-border data transfer questions if personal data is entered into the public service.
PDP Malaysia’s cross-border personal data transfer guideline states that data controllers may conduct a Transfer Impact Assessment, or TIA, to review whether the receiving country’s personal data protection law is equivalent or substantially similar to Act 709. It also says a TIA should identify the receiving countries, assess their personal data protection laws, determine whether substantially similar protections exist and ensure the transfer decision complies with Act 709.
The same guideline says data controllers should consider factors such as data subject rights, personal data protection principles, requirements on collection, disclosure, retention and cross-border transfer, DPO requirements, breach notification, processor protection duties and the existence of a comparable regulator.
It also recognises consent as one possible basis for cross-border transfer, but says data controllers must first provide a personal data protection notice containing details of the class of third parties and the purpose of transfer, and must record and maintain the consent.
From a business risk perspective, consent alone may not be enough. A company should also consider data minimisation, security, contractual safeguards, vendor due diligence, employee controls, retention limits and whether a safer deployment method is available.
What Data Should Malaysian Users Never Put Into DeepSeek?
The safest policy is simple: do not enter personal, sensitive, confidential or regulated data into public DeepSeek Chat.
| Data type | Examples in Malaysia | Risk level | Safer approach |
|---|---|---|---|
| NRIC/passport numbers | MyKad, passport, visa records | Very high | Remove identifiers or use approved secure systems |
| Customer contact data | Names, phone numbers, emails, addresses | High | Use anonymised examples |
| Bank/financial details | Account numbers, card data, salary, tax records | Very high | Use internal approved tools only |
| Health and medical data | Clinic notes, diagnosis, prescriptions | Very high | Do not use public AI chat |
| Employee records | Payroll, disciplinary files, performance reviews | Very high | Restrict to HR-approved secure systems |
| Children’s data | Student files, minors’ photos, guardian data | Very high | Avoid public AI tools |
| Contracts and NDAs | Client agreements, vendor terms, settlement drafts | High | Redact parties, amounts and confidential terms |
| Product plans | Roadmaps, pricing, unreleased features | High | Use generic descriptions only |
| Source code and credentials | Proprietary code, API keys, tokens, passwords | Very high | Never paste secrets; use secure code review tools |
| Cybersecurity logs | SIEM logs, incident reports, IPs, vulnerabilities | Very high | Use security-approved tools |
| Board/M&A documents | Board papers, acquisition targets, valuations | Very high | Do not use public AI chat |
| Government/NCII data | Public-sector systems, critical infrastructure data | Very high | Require formal approval and security review |
Safe Use Cases for DeepSeek in Malaysia
DeepSeek can still be useful when used carefully. Safer use cases include:
- Brainstorming blog topics using public information.
- Drafting generic marketing copy with no customer data.
- Summarising public reports or website content.
- Translating non-sensitive text.
- Creating sample spreadsheet formulas.
- Drafting generic SOP templates.
- Generating code examples without proprietary code.
- Role-playing sales scripts using fictional customers.
A safe prompt would be: “Create five blog title ideas for a Malaysian accounting firm about e-invoicing, using only general public information.”
An unsafe prompt would be: “Summarise these client tax files and recommend who should be audited.”
High-Risk Use Cases Where DeepSeek Should Be Restricted or Avoided
Malaysian businesses should restrict or avoid public DeepSeek use for:
- HR decisions involving hiring, promotion, discipline or termination.
- Credit, insurance, lending or eligibility decisions.
- Medical advice based on patient data.
- Legal work containing client identities or privileged material.
- Customer support using identifiable customer records.
- Finance, tax, audit or banking records.
- Government, defence, law enforcement or NCII-related data.
- Confidential R&D, source code, credentials or incident response information.
DeepSeek’s own terms warn that outputs may contain errors or omissions and should not be treated as professional advice, especially for medical, legal, financial and other professional issues. The terms also state that outputs used for decisions with legal or material impact on people, such as credit, education, employment, housing, insurance, legal or medical decisions, should undergo human review.
DeepSeek Chat vs API vs Self-Hosted Models
Not all DeepSeek use is the same. The deployment model changes the risk profile.
| Option | Data control | PDPA risk | Best for | Avoid for | Required safeguards |
|---|---|---|---|---|---|
| Public DeepSeek Chat | Low | High if personal/confidential data is entered | Public, generic tasks | Customer data, HR, legal, finance | User policy, redaction, training, no sensitive data |
| DeepSeek API | Medium | Medium to high depending on contract and configuration | Controlled app workflows | Unreviewed personal data processing | Contract review, logging, access control, TIA |
| Third-party platform using DeepSeek | Varies | Medium to high | Tools with strong enterprise controls | Unknown data routing | Vendor due diligence, subprocessors, DPA |
| Self-hosted/open-weight model | Higher | Lower for transfer, still significant | Internal controlled environments | Unsecured deployment | Security hardening, access controls, monitoring |
| Private cloud deployment | Higher | Medium | Enterprise use with governance | Regulated data without review | Cloud controls, contracts, DPIA/TIA, audits |
Self-hosting can improve data control, but it does not automatically solve everything. You still need security, access management, logging, patching, model governance, output review, bias testing, acceptable-use rules and licence review.
How to Use DeepSeek Safely in a Malaysian Business
Use this 10-step framework:
| Step | Action | Why it matters |
|---|---|---|
| 1 | Create an AI acceptable-use policy | Employees need clear rules before using AI tools |
| 2 | Classify data before AI use | Public, internal, confidential, personal and sensitive data require different treatment |
| 3 | Ban personal/sensitive/confidential data in public AI tools | Reduces PDPA, confidentiality and leakage risks |
| 4 | Use redaction and anonymisation | Allows safer testing without exposing identities |
| 5 | Review DeepSeek privacy policy and terms | Understand collection, storage, retention and training implications |
| 6 | Conduct vendor due diligence | Check security, subprocessors, contracts and support |
| 7 | Conduct a TIA where cross-border transfer is relevant | Aligns with Malaysia’s cross-border transfer expectations |
| 8 | Involve DPO, legal and IT/security | AI use is not only a productivity decision |
| 9 | Log and monitor business use | Helps detect misuse and support incident response |
| 10 | Train employees and review outputs | Prevents data leakage, hallucination and overreliance |
Sample DeepSeek Acceptable Use Policy for Malaysian Companies
Purpose:
This policy governs the use of DeepSeek and similar AI tools by employees, contractors and authorised users.
Permitted uses:
Employees may use DeepSeek for public-information research, brainstorming, generic copywriting, non-sensitive translation, general productivity support and draft templates.
Prohibited uses:
Users must not enter personal data, sensitive personal data, customer records, employee files, contracts, confidential business information, source code, credentials, cybersecurity logs, board papers, M&A materials, government data or regulated data into public DeepSeek Chat.
Approval process:
Any use involving internal business data, API integration, third-party platforms, automation or customer-facing deployment requires approval from IT/security, legal/compliance and the DPO where applicable.
Data handling rules:
Users must redact names, NRIC numbers, contact details, account numbers, addresses, company secrets and other identifiers before using AI tools. Synthetic examples should be used whenever possible.
Output review:
All AI outputs must be reviewed by a qualified human before use in legal, financial, HR, medical, customer-impacting or public communications.
Incident reporting:
Any suspected entry of restricted data into DeepSeek must be reported immediately to IT/security, legal/compliance and the DPO or responsible officer.
Misuse:
Violations may result in access removal, disciplinary action, contractual remedies or further investigation.
Department-by-Department Guidance
| Department | Safe uses | Restricted uses | Practical rule |
|---|---|---|---|
| Marketing | Blog ideas, generic copy, social captions | Customer lists, campaign data, unreleased strategy | Use fictional or public examples |
| Sales | Generic scripts, objection handling | CRM records, named leads, pricing exceptions | Never paste real customer data |
| HR | Policy drafts, interview question templates | Employee disputes, payroll, performance records | No employee-identifiable data |
| Finance | Spreadsheet formulas, generic explanations | Bank data, payroll, tax files, audit records | Use approved secure systems |
| Legal | General clause explanation | Client identities, privileged advice, contracts | Redact or avoid public AI |
| Customer Support | Generic response templates | Tickets with names, emails, account details | Use anonymised examples only |
| IT/Software | Sample code, debugging concepts | Proprietary code, secrets, logs, vulnerabilities | Never paste credentials |
| Healthcare/Clinic | Public health education drafts | Patient records, diagnoses, medical images | Avoid public AI for patient data |
| Education | Lesson ideas, quiz drafts | Student records, children’s data | Remove identifiers |
| Government/NCII-related teams | Public policy summaries | Sensitive systems, operational data, security info | Formal approval required |
DeepSeek and AI Governance in Malaysia
Malaysia’s AI governance direction supports responsible, ethical and transparent AI use. The Malaysia National AI Office points to the National Guidelines on AI Governance and Ethics as a voluntary guideline based on seven key AI principles for responsible and ethical AI practices.
Malaysia’s AIGE page describes seven core principles: fairness; reliability, safety and control; privacy and data security; inclusivity; transparency; accountability; and human benefit.
MOSTI’s National Guidelines on AI Governance and Ethics state that the guidelines support Malaysia’s National AI Roadmap 2021–2025 and facilitate implementation of Responsible AI according to seven AI principles. The guidelines also support a risk-based approach aligned with international practices.
For businesses, this means DeepSeek use should not be treated as a casual employee productivity habit. It should sit inside an AI governance framework covering privacy, security, fairness, transparency, accountability, human oversight and output reliability.
Reuters also reported that Malaysia launched a National AI Office to shape policy and address regulatory issues, with first-year deliverables including a code of ethics, AI regulatory framework and a five-year AI technology action plan until 2030.
Final Verdict: Should Malaysian Businesses Use DeepSeek?
Yes, for public, low-risk, non-confidential tasks with clear internal rules.
Maybe, for internal business use if the company has completed a risk assessment, reviewed DeepSeek’s terms and privacy policy, applied technical controls, assessed cross-border transfer implications and involved the right legal, DPO and IT/security teams.
No, for sensitive personal data, confidential business data, HR files, financial records, medical information, customer records, legal files, cybersecurity data or regulated information through public chat without proper safeguards.
For higher-risk use cases, Malaysian companies should consider private deployment, enterprise-grade AI platforms, local/private infrastructure or carefully governed API integrations.
The strongest answer to “Is DeepSeek safe in Malaysia?” is this: DeepSeek can be useful, but safe use depends on data discipline. Treat prompts as business data, apply PDPA controls, avoid sensitive information, review outputs and build a formal AI acceptable-use policy before employees make it part of daily work.
FAQ
1. Is DeepSeek safe to use in Malaysia?
DeepSeek can be safe for low-risk, public and non-confidential tasks. It is not suitable for casual use with personal data, sensitive personal data, confidential business information or regulated data unless proper safeguards are in place.
2. Is DeepSeek banned in Malaysia?
There is no general Malaysia-wide ban confirmed in the sources reviewed for this guide. Bernama reported in February 2025 that the Malaysian government was studying DeepSeek’s impact on Malaysia.
3. Is DeepSeek PDPA compliant?
Do not assume automatic PDPA compliance. PDPA compliance depends on how your organisation uses DeepSeek, what data is entered, whether personal data is transferred overseas, what notices and consents apply, and what security measures are in place.
4. Does DeepSeek store Malaysian user data in China?
DeepSeek’s privacy policy says it directly collects, processes and stores personal data in the People’s Republic of China to provide its services.
5. Can Malaysian companies put customer data into DeepSeek?
For public DeepSeek Chat, the safer answer is no. Customer data may be personal data under PDPA. Use anonymised examples, approved internal tools or properly contracted enterprise deployments.
6. Can I use DeepSeek for HR or employee data?
Avoid using public DeepSeek Chat for employee records, disciplinary matters, payroll, performance reviews or hiring decisions. HR data can be sensitive, confidential and legally risky.
7. Is DeepSeek API safer than DeepSeek Chat?
It can be safer if configured with contracts, access controls, logging, retention controls and transfer assessments. But API use is not automatically safe. The organisation still needs due diligence and PDPA review.
8. Is self-hosting DeepSeek safer?
Self-hosting may improve control over data location and access, but it does not remove all risk. You still need cybersecurity, access control, monitoring, patching, governance, output review and licence review.
9. What is a Transfer Impact Assessment under PDPA?
A Transfer Impact Assessment is an assessment of whether the receiving country or jurisdiction provides substantially similar or adequate protection for personal data. PDP Malaysia’s cross-border guideline describes TIA steps and factors such as data subject rights, security principles, DPO requirements, breach notification and regulator powers.
10. Do Malaysian businesses need a DPO before using DeepSeek?
Not always. PDP Malaysia states that a DPO is required if processing involves personal data exceeding 20,000 data subjects, sensitive personal data including financial information exceeding 10,000 data subjects, or regular and systematic monitoring such as online user behaviour tracking.
11. What should employees never enter into DeepSeek?
Employees should not enter NRIC numbers, passport numbers, customer records, bank details, health data, employee files, children’s data, contracts, source code, passwords, security logs, board papers or government/critical infrastructure information.
12. What is the safest way to use DeepSeek for work?
Use DeepSeek only for public, generic and non-confidential tasks. Redact all identifiers, avoid personal and sensitive data, review outputs, train employees and require approval for API, customer-facing or internal-data use.